KR20230121449A - Renewable energy power source automatic mathcing artificial intelligence system for re100 and operating method thereof - Google Patents

Abstract

The present disclosure relates to a method for providing generation source information of renewable energy and an electronic device for performing the method. A method of providing information on a generation source of renewable energy by an electronic device may include acquiring information about a company that demands electricity provided from a generation source of renewable energy; Obtaining power demand time information for power provided from the renewable energy generation source; When the demand company information and the power demand time information are input, the demand company information and the power demand time information are input to an artificial intelligence model that outputs power generation source information of renewable energy capable of providing power to the demand company according to the demand company information. By inputting, obtaining information on the generation source of the renewable energy from the artificial intelligence model; And outputting the generation source information of the obtained renewable energy; can include

Description

Renewable energy source automatic matching artificial intelligence system to achieve RE100 and its operation method

The present disclosure relates to a method and apparatus for providing generation source information of renewable energy. More specifically, it relates to a method and apparatus for providing a power generation source of renewable energy suitable for power-demanding companies.

The 5th New Renewable Energy Basic Plan was announced to induce participation in 'RE100 (Renewable Energy 100%)' to create a diverse demand base for renewable energy and replace 100% of electricity used by companies and public institutions with renewable energy To this end, companies' voluntary use of renewable energy and procedures are being prepared.

In response to the climate crisis, a legal basis is being prepared to allow direct electricity sales by renewable energy electricity supply operators for industrial competitiveness of companies, and since it is impossible to procure electricity with self-production of renewable energy, power purchase contracts and purchase of renewable energy certificates Technologies to achieve the goal in the form of energy trading are being studied.

Domestic companies have been hit hard by the introduction of carbon credits and carbon border taxes in Europe and the US, and domestic companies are being asked to use renewable energy from global NGOs or customers. there is.

Meanwhile, a virtual power plant is a customized power generation technology that collects and analyzes distributed power consumption information and then supplies only necessary power. It is a cloud-based power control technology that can integrate and operate various types of distributed energy sources using information and communication technology. Existing virtual power plants have limitations in that participants can manage them directly because they can only register and inquire the adjustment of participation amount, such as market participation status, resource information and power generation plan of power plant participants.

In addition, distributed resource forecasting consists of comprehensive forecasting, renewable forecasting, and demand resource forecasting, so it is possible to inquire only the power generation forecast, and there is a limit to directly finding a power plant suitable for the company. Therefore, in an environment where distributed resources are expanding worldwide and investment in them is increasing, there is a demand for technology development for providing a renewable energy generation source optimized for power consuming companies among distributed resources.

Korean Registered Patent No. 2138656

According to an embodiment, a method for providing generation source information of renewable energy by an electronic device and an electronic device performing the method may be provided.

In addition, according to an embodiment, a method for providing generation source information of new and renewable energy matched to a consumer company using an adversarial generative neural network and an electronic device performing the method may be provided.

According to an embodiment of the present disclosure for achieving the above-described technical problem, a method for providing information on a generation source of renewable energy by an electronic device obtains information about a company that demands electricity provided from a generation source of renewable energy. doing; Obtaining power demand time information for power provided from the renewable energy generation source; When the demand company information and the power demand time information are input, the demand company information and the power demand time information are input to an artificial intelligence model that outputs power generation source information of renewable energy capable of providing power to the demand company according to the demand company information. By inputting, obtaining information on the generation source of the renewable energy from the artificial intelligence model; And outputting the generation source information of the obtained renewable energy; can include

According to another embodiment for achieving the above technical problem, an electronic device providing information on a power generation source of renewable energy includes a network interface; a memory that stores one or more instructions; at least one processor to execute the one or more instructions; Including, the at least one processor obtains company demand information for the power provided from the renewable energy generation source, and obtains power demand time information for the power provided from the renewable energy generation source. And, when the demand company information and the power demand time information are input, an artificial intelligence model that outputs power generation source information of renewable energy that can provide power to the demand company according to the demand company information, the demand company information and the power demand By inputting the time information, it is possible to obtain the generation source information of the new and renewable energy from the artificial intelligence model, and output the obtained generation source information of the new and renewable energy.

According to another embodiment for achieving the above-described technical problem, in a method for providing information on a generation source of renewable energy by an electronic device, obtaining information on a company that demands electricity provided from a generation source of renewable energy. doing; Obtaining power demand time information for power provided from the renewable energy generation source; When the demand company information and the power demand time information are input, the demand company information and the power demand time information are input to an artificial intelligence model that outputs power generation source information of renewable energy capable of providing power to the demand company according to the demand company information. By inputting, obtaining information on the generation source of the renewable energy from the artificial intelligence model; And outputting the generation source information of the obtained renewable energy; A computer-readable recording medium in which a program for executing a method including a method on a computer is recorded may be provided.

1 is a diagram schematically illustrating a process in which an electronic device provides power generation source information of renewable energy according to an embodiment.
2 is a flowchart of a method in which an electronic device provides power generation source information of renewable energy according to an embodiment.
3 is a flowchart of a process of learning an artificial intelligence model by an electronic device according to an embodiment.
4 is a flowchart of a specific method for obtaining customer company information by an electronic device according to an embodiment.
5 is a flowchart of a specific method for obtaining power demand time information by an electronic device according to an embodiment.
6 is a block diagram of an electronic device according to an exemplary embodiment.
7 is a diagram for explaining an example of failure in matching power consumption between a renewable power plant and a manufacturer according to an embodiment.
8 is a diagram for explaining an example of successful matching of power consumption between a renewable power plant and a manufacturer according to an embodiment.

Terms used in this specification will be briefly described, and the present disclosure will be described in detail.

The terms used in the present disclosure have been selected from general terms that are currently widely used as much as possible while considering the functions in the present disclosure, but they may vary according to the intention or precedent of a person skilled in the art, the emergence of new technologies, and the like. In addition, in a specific case, there is also a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the invention. Therefore, terms used in the present disclosure should be defined based on the meaning of the term and the general content of the present disclosure, not simply the name of the term.

When it is said that a certain part "includes" a certain component throughout the specification, it means that it may further include other components without excluding other components unless otherwise stated. In addition, terms such as "...unit" and "module" described in the specification mean a unit that processes at least one function or operation, which may be implemented as hardware or software or a combination of hardware and software. .

Hereinafter, with reference to the accompanying drawings, embodiments of the present disclosure will be described in detail so that those skilled in the art can easily carry out the present disclosure. However, the present disclosure may be implemented in many different forms and is not limited to the embodiments described herein. And in order to clearly describe the present disclosure in the drawings, parts irrelevant to the description are omitted, and similar reference numerals are attached to similar parts throughout the specification.

1 is a diagram schematically illustrating a process in which an electronic device provides power generation source information of renewable energy according to an embodiment.

According to an embodiment, the electronic device 1000 may provide renewable energy generation source information 180 when at least one of the demand company information 102 and the demand time information 104 is input. For example, the electronic device 1000 acquires demand time information 104 , which is information about a time when a demand company needs power according to demand company information 102 , and obtains demand company information or demand time information. Based on at least one of the above, it is possible to provide renewable energy generation source information 180 for a new renewable energy generation source required for a consumer company.

According to an embodiment, the electronic device 1000 may store the artificial intelligence model 140 in memory. According to an embodiment, the artificial intelligence model 140 is a model that can be learned by an artificial intelligence learning algorithm, and may include at least one adversarial generative neural network model (GAN) and at least one deep learning neural network model. According to an embodiment, the artificial intelligence model 140 may include a first adversarial generative neural network model 142 or a second adversarial generative neural network model 144 . For example, the artificial intelligence model 140 may be a model learned to output optimal renewable energy generation source information 180 for the demand company when demand company information 102 or demand time information 104 is acquired. can

Renewable energy generation source information 180 output by the electronic device 1000 includes new and renewable energy type information 182 indicating the type of new and renewable energy, location information 184 of the renewable energy generation source, and the demand company. It may include other connection information 186 necessary to connect to the renewable energy generation source. According to an embodiment, the electronic device 1000 may provide the user with a plurality of power sources generating renewable energy as one power source generating renewable energy.

According to an embodiment, the electronic device 1000 may be connected to the server 2000 and a plurality of renewable energy power plants 3000. For example, the electronic device 1000 may manage a plurality of renewable energy power plants 3000 based on the cloud by interworking with the server 2000 . A plurality of renewable energy power plants 3000 may correspond to a plurality of renewable energy power sources. The plurality of renewable energy power plants 3000 may include at least one of a wind power plant 110, a hydroelectric power plant 112, or a photovoltaic power plant 114, but is not limited thereto, and other renewable energy generating power plants. Renewable power plants may be included.

According to an embodiment, the electronic device 1000 may create a virtual power plant corresponding to the plurality of renewable energy power plants 3000 based on the cloud. The virtual power plant may be a set of instructions implemented by a plurality of renewable energy power plants 3000 on a computer. The electronic device 1000 may control the transfer of renewable energy from a plurality of real renewable energy power plants to the electronic device by controlling the virtual power plant.

According to an embodiment, the server 2000 to which the electronic device 1000 is connected may also perform a method of providing power generation source information of renewable energy. According to an embodiment, the server 2000 may create a virtual power plant and store the created virtual power plant in a database on the server. According to the RE100 (Renewable Energy 100%) policy, the electronic device 1000 according to the present disclosure can replace 100% of the electricity used by companies or public institutions with renewable energy, and a predetermined trust matched with respect to companies that demand it. It can provide power generation source information of renewable energy.

According to an embodiment, when renewable energy is supplied to a consumer company, the electronic device 1000 generates a renewable energy supply certificate such as a REC (Renewable Energy Certificate), and transmits the generated certificate to another device connected to the electronic device. can be sent to Also, the electronic device 1000 may obtain a renewable energy supply certificate from a server managed by the Korea Energy Agency. Using the new and renewable energy generation source information 180 output by the electronic device 1000, the consumer company can effectively receive new and renewable energy from the corresponding new and renewable energy generation source.

2 is a flowchart of a method in which an electronic device provides power generation source information of renewable energy according to an embodiment.

In S210 , the electronic device 1000 may obtain information on companies that demand electricity provided from renewable energy sources. For example, although the electronic device 1000 may obtain information on a company that is in demand based on a user's input to the electronic device, the information on a company previously subscribed to an energy management service provided by the electronic device 1000 is converted into data. It is also possible to obtain the information of the consuming company by inquiring from the base. According to another embodiment, the electronic device 1000 may further obtain, as a company characteristic, average power consumption of the entire industry for the corresponding industry as well as industry information of the consuming company.

In S220, the electronic device 1000 may obtain power demand time information for power provided from a renewable energy generation source. For example, the electronic device 1000 may obtain time information when a consumer company needs power provided from a renewable energy source as demand time information. According to an embodiment, the demand time information may be obtained in units of hours, days, weeks, months, or years.

In S230, when the demand company information and the power demand time information are obtained, the electronic device 1000 outputs power generation source information of renewable energy that can be provided to the demand company according to the demand company information to an artificial intelligence model outputting the demand company information. By inputting information and power demand time information, it is possible to obtain power generation source information of renewable energy from an artificial intelligence model. According to an embodiment, the artificial intelligence model used by the electronic device 1000 may include, but is not limited to, a deep learning neural network model and an adversarial generative neural network model, and a neural network model that can be learned by other machine learning algorithms. may further include.

For example, the renewable energy generation source information acquired by the electronic device 1000 from the artificial intelligence model is connected to the renewable energy type information, the location information of the renewable energy generation source, or the renewable energy generation source. It may include at least one of connection information for For example, the electronic device 1000 acquires type information of new and renewable energy matched to demand company information and power demand time information, and locates a renewable energy generation source matched to demand company information and power demand time information. Obtains information, obtains connection information for the distribution system of the consumer company according to the consumer company information to be connected to the renewable energy generation source, and obtains information about the type of renewable energy obtained and the generation source of renewable energy. At least one of the location information and the connection information may be obtained as renewable energy generation source information.

According to an embodiment, the electronic device 1000 may modify generation source information of renewable energy acquired from an artificial intelligence model. For example, the electronic device 1000 acquires virtual power plant device information corresponding to a plurality of renewable energy sources by interworking with the server 2000, and both the obtained virtual power plant device information and the output value of the artificial intelligence model. It is also possible to provide information on new and renewable energy power generation sources optimized for demand companies by using .

According to an embodiment, the electronic device 1000 may provide generation source information of a plurality of renewable energies matched with demand company information and power demand time information as one new and renewable energy generation source information. That is, the electronic device 1000 according to the present disclosure uses a Virtual Power Plant (VPP) to provide several new and renewable energy power generation sources to a consumer company like a single power plant, thereby providing a renewable energy power generation source suitable for power consuming companies. It can automatically match companies, and effectively predict the characteristics of companies and the capacity and price of each power generation company.

In S240, the electronic device 1000 may output generation source information of renewable energy obtained from the artificial intelligence model. For example, the electronic device 1000 may transmit renewable energy generation source information obtained from the artificial intelligence model to another computer device connected to the electronic device 1000, and display information of renewable energy through a display included in the electronic device. Power generation source information can also be output.

The electronic device 1000 according to the present disclosure finds and automatically provides the optimal renewable energy generation source suitable for a power-demanding company using an artificial intelligence model, thereby providing optimal power generation information suitable for the characteristics of the company, the capacity of each power generation company, and the price. can provide In addition, according to an embodiment, a plurality of renewable energy sources provided by the electronic device 1000 using an artificial intelligence model may be managed as at least one virtual power plant device, and the electronic device 1000 may be By controlling the virtual power plant device using energy generation source information, it is possible to effectively connect an energy-demanding company to a renewable energy generation source.

3 is a flowchart of a process of learning an artificial intelligence model by an electronic device according to an embodiment.

According to an embodiment, the electronic device 1000 may solve a data shortage problem by using an adversarial generative neural network model. In addition, the electronic device 1000 may generate learning data without past data related to power generation using an adversarial neural network model, and may train an artificial intelligence model using the generated data.

For example, in S310 , the electronic device 1000 may generate first learning data about the amount of power produced by renewable energy sources, by time, and by weather using the first adversarial generation neural network model. The electronic device 1000 may generate first learning data about the amount of electric power produced for each power source, each time, and each weather (eg, temperature and humidity). The electronic device 1000 may generate all data such as weather and expand the number of cases so that an accurate amount of power generation for each renewable energy can be predicted.

In S320, the electronic device 1000 uses the second adversarial generation neural network model to obtain second learning data about the amount of power demanded for each company, industry, and hour for the electricity provided from the renewable energy generation source. can create For example, the electronic device 1000 may solve the data shortage problem by using the second adversarial generative neural network model, generate second training data by using the adversarial generative neural network model without past data related to power consumption, and generate second training data. The artificial intelligence model may be trained using the second learning data. In S330, the electronic device 1000 may learn the artificial intelligence model based on the first learning data and the second learning data.

4 is a flowchart of a specific method for obtaining customer company information by an electronic device according to an embodiment.

In S410, the electronic device 1000 may obtain information on a type of demand company that has a demand for power provided from a renewable energy generation source. For example, the electronic device 1000 may obtain information about the type of business of the consuming company from a database that manages business information of the consuming company. In S420, the electronic device 1000 may acquire location information of a consumer company. For example, the electronic device 1000 may obtain demand company name information or demand company type information, and directly obtain location information of the demand company through an operator management server inquiry based on the demand company name information or demand company type information. may be

In S430, the electronic device 1000 may obtain information on the amount of power demanded by time of the consuming company. According to an embodiment, the electronic device 1000 may obtain power demand information according to at least one period among time, day, week, month, or year of the consumer company. According to an embodiment, the electronic device 1000 may obtain at least one of type information of the consuming company, location information of the consuming company, or power demand information of the consuming company as the consuming company information.

5 is a flowchart of a specific method for obtaining power demand time information by an electronic device according to an embodiment.

In S510, the electronic device 1000 may obtain demand occurrence time information when demand for power provided from renewable energy sources occurs. In S520, the electronic device 1000 may obtain demand end time information when the demand for power provided from the renewable energy generation source ends.

For example, the electronic device 1000 may obtain time information requiring renewable energy from a consumer company in units of hours, days, weeks, months, or years. Also, the electronic device 1000 may obtain information on the length of time required for renewable energy power from a consumer company.

6 is a block diagram of an electronic device according to an exemplary embodiment.

According to an embodiment, the electronic device 1000 may include a processor 1300, a network interface 1500, and a memory 1700. However, not all illustrated components are essential components. The electronic device 1000 may be implemented with more components than those illustrated, or the electronic device 1000 may be implemented with fewer components. According to an embodiment, the electronic device 1000 may further include a display for providing generation source information of renewable energy.

The processor 1300 typically controls overall operations of the electronic device 1000 . For example, the processor 1300 may generally control the network interface 1500 by executing programs stored in the memory 1700 .

According to an embodiment, the processor 1300 performs one or more instructions, obtaining information on companies that demand for power provided from the renewable energy generation source, and obtaining information on the power provided from the renewable energy generation source. to an artificial intelligence model that obtains power demand time information for the demand company and outputs power generation source information of renewable energy capable of providing power to the consumer company according to the demand company information when the demand company information and the power demand time information are input. By inputting the demand company information and the power demand time information, it is possible to obtain the generation source information of the new and renewable energy from the artificial intelligence model, and output the obtained generation source information of the new and renewable energy.

According to an embodiment, the processor 1300 uses a first adversarial generation neural network prior to obtaining the consumer company information, and first learning data about the amount of power produced by renewable energy sources, by time, and by weather. And generating second learning data about the amount of power demanded by companies, by type of industry and by time of the demand company for the electricity provided from the renewable energy generation source by using a second adversarial generation neural network, An artificial intelligence model may be trained based on the first learning data and the second learning data.

According to an embodiment, the processor 1300 selects among type information of a consuming company that has a demand for electricity provided from the renewable energy generation source, location information of the consuming company, or hourly power demand information of the consuming company. At least one may be obtained as the consumer company information.

According to an embodiment, the processor 1300 may provide information on the demand occurrence time when the demand for power provided from the renewable energy generation source occurs or the demand for power provided from the renewable energy generation source is terminated. At least one of demand end time information may be obtained as the power demand time information.

According to an embodiment, the processor 1300 obtains the renewable energy type information matched to the demand company information and the power demand time information from the artificial intelligence model, and obtains the demand company information from the artificial intelligence model. information and location information of the renewable energy generation source matched to the power demand time information, and from the artificial intelligence model, to connect the consuming company according to the consuming company information to the renewable energy generating source. Connection information can be obtained.

According to an embodiment, the processor 1300 obtains generation source information of a plurality of renewable energies matching the demand company information and the power demand time information as the new and renewable energy generation source information, from the artificial intelligence model. can do.

The network interface 1500 may transmit and receive data to and from another computing device connected to the electronic device. For example, the network interface 1500 may obtain consumer company information from a server connected to an electronic device or an electronic device used by a power consumer company. Also, the network interface 1500 may obtain power demand time information required by a consuming company based on a user input for an electronic device.

The memory 1700 may store programs for processing and control of the processor 1300 and may store data input to or output from the electronic device 1000 . Also, the memory 1700 may further store instructions necessary for the electronic device 1000 to perform a method of providing information on a generation source of renewable energy.

According to an embodiment, the memory 1700 may further store a plurality of adversarial generation neural network models or deep learning neural network models for providing generation source information of new and renewable energy matched to companies that demand it. Also, the memory 1700 may further store information about weights related to nodes, layers, and connection strengths of the layers in the neural network model.

The memory 1700 may include a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (eg SD or XD memory, etc.), RAM (RAM, Random Access Memory) SRAM (Static Random Access Memory), ROM (Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), PROM (Programmable Read-Only Memory), magnetic memory, magnetic disk , an optical disk, and at least one type of storage medium.

7 is a diagram for explaining an example of failure in matching power consumption between a renewable power plant and a manufacturer according to an embodiment.

Referring to FIG. 7 , an example of a failure to match power consumption between a renewable power plant and a manufacturer is shown. Referring to the figure 710 of FIG. 7, the manufacturing power consumption 712 required by the power-demanding company, the solar power generation amount 714 and the wind power generation amount for each of the solar and wind power sources as a power generation source of renewable energy It is shown as the amount of power generation 716 .

Referring to Figure 720, manufacturing power consumption is measured higher than the sum of solar power generation 714 and wind power generation 716 by the required power consumption from 0 to 23 o'clock, and in particular, from 3 o'clock to 23 o'clock. Referring to the section 722 indicating between 10:00, the generation amount of renewable energy (solar light, wind power) is not close to the amount of power consumed by the power consuming company, and the power consuming company fails to achieve 100% use of renewable energy. You can see an example.

8 is a diagram for explaining an example of successful matching of power consumption between a renewable power plant and a manufacturer according to an embodiment.

Referring to FIG. 8 , an example of successful matching of power consumption between a renewable power plant and a manufacturer based on renewable energy generation source information provided by an electronic device according to the present disclosure is illustrated. Referring to the figure 810 of FIG. 8, the manufacturing power consumption 812 required by the power-demanding company, the solar power generation amount 814 and the wind power generation amount for each of the solar and wind power sources as a power generation source of renewable energy It is shown as the amount of power generation 816 . Referring to Figure 820, the sum of solar power generation amount 714 and wind power generation amount 716 is appropriately matched for the required power consumption from 0 to 23:00, so that the demand power company uses 100% of the demand power. Can be used as renewable energy.

That is, the electronic device 1000 according to the present disclosure obtains power demand time information for power provided from a renewable energy generation source in a consumer company, and based on the obtained power demand time information, by time or by weather. , By providing at least one generation source of new and renewable energy (each or at least one matched to a virtual power plant) suitable for each industry consuming company as one generation source information, the demanded power of the consuming company is 100% renewable energy can be made to be substituted.

The method according to an embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program commands recorded on the medium may be specially designed and configured for the present disclosure, or may be known and usable to those skilled in computer software.

In addition, a computer program device including a recording medium in which a program for performing a different method according to the above embodiment is stored may be provided. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler.

Although the embodiments of the present disclosure have been described in detail above, the scope of the present disclosure is not limited thereto, and various modifications and improvements of those skilled in the art using the basic concepts of the present disclosure defined in the following claims are also included in the present disclosure. fall within the scope of the right

Claims (13)

A method for an electronic device to provide power generation source information of renewable energy,
Acquiring information on companies that demand electricity provided from the renewable energy generation source;
Obtaining power demand time information for power provided from the renewable energy generation source;
When the demand company information and the power demand time information are input, the demand company information and the power demand time information are input to an artificial intelligence model that outputs power generation source information of renewable energy capable of providing power to the demand company according to the demand company information. By inputting, obtaining information on the generation source of the renewable energy from the artificial intelligence model; and
Outputting power source information of the acquired renewable energy; How to include. The method of claim 1, wherein the method prior to acquiring the consumer company information,
Generating first learning data about the amount of power produced by the renewable energy generation source, by time, and by weather using a first adversarial generation neural network;
Generating second learning data about the amount of power demanded for each company, each type of industry and time of the demand company for the electricity provided from the renewable energy generation source using a second adversarial generation neural network; and
learning an artificial intelligence model based on the first learning data and the second learning data; Including, method. The method of claim 1, wherein the step of acquiring information on the consumer company
Acquiring industry information of a demand company having a demand for power provided from the renewable energy generation source;
obtaining location information of the consumer company; and
Obtaining information on the amount of power demanded by time of the consumer company; Including, method. The method of claim 3, wherein the obtaining of the power demand time information
Obtaining demand generation time information at which demand for power provided from the renewable energy generation source occurs; and
Obtaining demand end time information at which demand for power provided from the renewable energy generation source ends; Including, method. The method of claim 4, wherein the step of obtaining power generation source information of the renewable energy
obtaining type information of the new and renewable energy matched with the demand company information and the power demand time information from the artificial intelligence model;
obtaining location information of the renewable energy generation source matched to the demand company information and the power demand time information from the artificial intelligence model; and
Acquiring, from the artificial intelligence model, connection information for the demand company according to the demand company information to be connected to the renewable energy generation source; Including, method. The method of claim 4, wherein the step of obtaining power generation source information of the renewable energy
Acquiring, from the artificial intelligence model, generation source information of a plurality of new and renewable energies matching the demand company information and the power demand time information as the generation source information of the new and renewable energy; Including, method. In an electronic device providing power generation source information of renewable energy,
network interface;
a memory that stores one or more instructions;
at least one processor to execute the one or more instructions; including,
The at least one processor,
Acquiring information on companies that demand electricity provided from the renewable energy generation source;
Obtaining power demand time information for power provided from the renewable energy generation source;
When the demand company information and the power demand time information are input, the demand company information and the power demand time information are input to an artificial intelligence model that outputs power generation source information of renewable energy capable of providing power to the demand company according to the demand company information. By inputting, obtaining power generation source information of the renewable energy from the artificial intelligence model,
An electronic device that outputs power generation source information of the obtained renewable energy. 8. The method of claim 7, wherein the at least one processor
Prior to obtaining the demand company information,
Generating first learning data about the amount of power produced by the renewable energy generation source, time, and weather by using a first adversarial generation neural network;
Using a second adversarial generative neural network, second learning data about the amount of power demanded for each company, each type of industry and time of the demand company for the electricity provided from the renewable energy generation source is generated,
An electronic device for learning an artificial intelligence model based on the first learning data and the second learning data. 8. The method of claim 7, wherein the at least one processor
Obtaining at least one of industry information of a consumer company that has a demand for electricity provided from the renewable energy generation source, location information of the consumer company, or information on the amount of power demanded by time of the consumer company as the consumer company information, electronic device. 10. The method of claim 9, wherein the at least one processor
At least one of demand occurrence time information when the demand for power provided from the renewable energy generation source occurs or demand end time information when the demand for power provided from the renewable energy generation source ends ends An electronic device obtained as time information. 10. The method of claim 9, wherein the at least one processor
Obtaining type information of the new and renewable energy matched to the demand company information and the power demand time information from the artificial intelligence model;
Obtaining location information of the renewable energy generation source matched to the demand company information and the power demand time information from the artificial intelligence model;
The electronic device, from the artificial intelligence model, obtaining connection information for a consuming company according to the consuming company information to be connected to the renewable energy generation source. 11. The method of claim 10, wherein the at least one processor
An electronic device that acquires generation source information of a plurality of renewable energies matched with the demand company information and the power demand time information as the renewable energy generation source information, from the artificial intelligence model. A method for an electronic device to provide power generation source information of renewable energy,
Acquiring information on companies that demand electricity provided from the renewable energy generation source;
Obtaining power demand time information for power provided from the renewable energy generation source;
When the demand company information and the power demand time information are input, the demand company information and the power demand time information are input to an artificial intelligence model that outputs power generation source information of renewable energy capable of providing power to the demand company according to the demand company information. By inputting, obtaining information on the generation source of the renewable energy from the artificial intelligence model; and
Outputting power source information of the acquired renewable energy; A computer-readable recording medium recording a program for executing a method including a method on a computer.