CN112696750A - Cold accumulation control method and device for air conditioning device with cold accumulation function - Google Patents
Cold accumulation control method and device for air conditioning device with cold accumulation function Download PDFInfo
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- CN112696750A CN112696750A CN202110088077.9A CN202110088077A CN112696750A CN 112696750 A CN112696750 A CN 112696750A CN 202110088077 A CN202110088077 A CN 202110088077A CN 112696750 A CN112696750 A CN 112696750A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F5/00—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater
- F24F5/0007—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater cooling apparatus specially adapted for use in air-conditioning
- F24F5/0017—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater cooling apparatus specially adapted for use in air-conditioning using cold storage bodies, e.g. ice
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/30—Control or safety arrangements for purposes related to the operation of the system, e.g. for safety or monitoring
- F24F11/46—Improving electric energy efficiency or saving
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F11/00—Control or safety arrangements
- F24F11/70—Control systems characterised by their outputs; Constructional details thereof
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F24—HEATING; RANGES; VENTILATING
- F24F—AIR-CONDITIONING; AIR-HUMIDIFICATION; VENTILATION; USE OF AIR CURRENTS FOR SCREENING
- F24F5/00—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater
- F24F5/0007—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater cooling apparatus specially adapted for use in air-conditioning
- F24F5/0017—Air-conditioning systems or apparatus not covered by F24F1/00 or F24F3/00, e.g. using solar heat or combined with household units such as an oven or water heater cooling apparatus specially adapted for use in air-conditioning using cold storage bodies, e.g. ice
- F24F2005/0032—Systems storing energy during the night
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/14—Thermal energy storage
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- Air Conditioning Control Device (AREA)
Abstract
The application relates to a cold accumulation control method and device of an air conditioning device with a cold accumulation function. The method and the device determine the energy storage amount in the previous energy storage period by predicting the energy storage amount required by the time interval of the electricity price at the execution peak of the next day. Through control energy storage for under the insufficient condition of electric energy, carry out abundant utilization to the electric energy, can prevent the energy storage loss simultaneously, improve the electric energy rate of utilization.
Description
Technical Field
The application belongs to the technical field of control equipment, and particularly relates to a cold accumulation control method of an air conditioning device with a cold accumulation function.
Background
The cold accumulation air conditioner is an energy storage device and is a main component of a cold accumulation air conditioning system. The air-conditioning refrigeration equipment utilizes the night valley point for refrigeration, stores cold energy in the form of cold water, cold water or a solidified phase-change material, and partially or completely utilizes the stored cold energy to supply cold to an air-conditioning system in the peak load period of the air conditioner, so as to achieve the purposes of reducing the installation capacity of the refrigeration equipment, reducing the operation cost and cutting the peak and filling the valley of the power load.
However, in the prior art, the energy storage device is usually directly stored to full capacity, but in hot summer, the air conditioner is required to simultaneously perform refrigeration and cold storage at the low peak load period of the air conditioner at night, and at this time, the cold storage cannot be stored sufficiently.
Disclosure of Invention
The technical problem to be solved by the invention is as follows: in order to solve the defects in the prior art, the cold accumulation control method and the cold accumulation control device of the air conditioning device with the cold accumulation function can perform predictive control on the cold accumulation amount.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a cold accumulation control method of an air conditioning device with a cold accumulation function comprises the following steps:
s1: collecting historical data recording the refrigeration power required by the period of executing the peak electricity price;
s2: predicting the energy storage amount required by the next day for executing the peak electricity price period;
s3: determining the energy storage amount of a time period before the next day when the peak-valley electricity price is executed according to the required energy storage amount;
s4: cold storage is performed to the stored energy calculated at step S3 in the period before the next day when the peak-to-valley electricity prices are executed.
Preferably, in the cold accumulation control method of an air conditioning device with a cold accumulation function of the present invention, in the step S1, the historical data is the refrigerating capacity W required for the period of time when the peak electricity price is executed on the previous day;
s2, when W is larger than or equal to K times the rated total cold storage amount of the ice storage device, storing ice of the ice storage device to the rated total cold storage amount when peak-valley electricity price is executed, wherein K is smaller than or equal to 1;
when W is less than K times the rated total cold storage amount of the ice storage device, the ice storage device stores ice to 1/K.W when peak-valley electricity price is executed.
Preferably, in the cold accumulation control method for an air conditioning device with a cold accumulation function of the present invention, the historical data in the step S1 is the cooling capacity required for the period of time of executing the peak electricity price for a plurality of days,
in the step S2, the average value W of the refrigerating capacity of multiple days is firstly obtainedAverageWhen W isAverageWhen K times of the rated total cold accumulation of the ice storage device is more than or equal to K times, the ice storage device stores ice to the rated total cold accumulation when peak-valley electricity price is executed, wherein K is less than or equal to 1;
when W isAverageLess than K times of total cold storage capacity of ice storage deviceWhen the peak-valley electricity price is executed, the ice storage device is used to store ice to 1/K.WAverage。
Preferably, in the cold storage control method of an air conditioning device with a cold storage function of the present invention, in the step S1, historical data of the cooling capacity required for recording the time period for executing the peak electricity price is collected, and meanwhile, air temperature data of the current day is collected, and a relationship curve between the air temperature and the cooling power is established through regression analysis;
when the cooling power required for the next day during the time period in which the peak electricity price is executed is predicted in step S2, the temperature data of the weather forecast for the next day is acquired first, and the corresponding stored energy is determined from the relationship curve.
Preferably, in the cold accumulation control method for an air conditioning device with a cold accumulation function of the present invention, the ice storage time of the ice storage device is also estimated in the step S4, and the operation time of the ice storage device is controlled to be the later stage of the peak-valley electricity price execution period.
The application still provides an air conditioning plant cold-storage controlling means with cold-storage function, includes:
a data collection module: a data acquisition unit for collecting historical data recording the cooling power required for the period of time for executing the peak electricity price;
a prediction module: an energy storage amount required for predicting a period for which the peak electricity price is executed next day; determining the energy storage amount of the time period for executing the peak-valley electricity price before the next day according to the required energy storage amount;
a control module: the cold accumulation is performed to the accumulated energy calculated in the determination module with a period of time for controlling the cold accumulation device to perform peak-to-valley electricity prices before the next day.
Preferably, in the cold accumulation control device of the air conditioning device with the cold accumulation function, the historical data in the data collection module is the refrigerating capacity W required by the time period of executing the peak electricity price on the previous day;
when W is more than or equal to K times of the rated total cold accumulation of the ice storage device in the prediction module, the ice storage device stores ice to the rated total cold accumulation when peak-valley electricity price is executed, wherein K is less than or equal to 1;
when W is less than K times the rated total cold storage amount of the ice storage device, the ice storage device stores ice to 1/K.W when peak-valley electricity price is executed.
Preferably, the air conditioner cold accumulation control device with cold accumulation function of the invention, the historical data in the data collection module is the refrigerating capacity required by the time interval of executing peak electricity price for multiple days,
firstly, the average value W of the refrigerating capacity of multiple days is obtained in the prediction moduleAverageWhen W isAverageWhen K times of the rated total cold accumulation of the ice storage device is more than or equal to K times, the ice storage device stores ice to the rated total cold accumulation when peak-valley electricity price is executed, wherein K is less than or equal to 1;
when W isAverageWhen the total cold storage capacity is less than K times of the rated total cold storage capacity of the ice storage device, the ice storage device stores ice to 1/K.W when the peak-valley electricity price is executedAverage。
Preferably, in the cold accumulation control device of the air conditioning device with the cold accumulation function, historical data of refrigerating capacity required by the time period for executing the peak electricity price is collected and recorded in the data collection module, the temperature data of the current day is also collected, and a relation curve between the temperature and the refrigerating power is established through regression analysis;
when the refrigerating power required by the time interval when the next day carries out the peak electricity price is predicted in the prediction module, the temperature data of the weather forecast of the next day is firstly obtained, and the corresponding energy storage amount is determined according to the relation curve.
Preferably, in the air conditioning device cold accumulation control device with the cold accumulation function, the control module also estimates the ice accumulation time of the ice accumulation device and controls the working time of the ice accumulation device to be the later stage of the peak-valley electricity price execution period.
The invention has the beneficial effects that:
the method and the device determine the energy storage amount in the previous energy storage period by predicting the energy storage amount required by the time interval of the electricity price at the execution peak of the next day. Through control energy storage for under the insufficient condition of electric energy, carry out abundant utilization to the electric energy, can prevent the energy storage loss simultaneously, improve the electric energy rate of utilization.
Drawings
The technical solution of the present application is further explained below with reference to the drawings and the embodiments.
Fig. 1 is a flowchart of a cold storage control method of an air conditioning device with a cold storage function according to an embodiment of the present application;
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict.
The technical solutions of the present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
According to the general power department's regulations at the time of filing: the time period for executing the peak-to-valley electricity price is generally 8:00-22:00, the time period for executing the peak-to-valley electricity price is generally 22: 00-8: 00 of the next day, the ice storage device starts ice storage operation (ice storage energy storage) when the time period for executing the peak-to-valley electricity price is executed, the ice storage device performs ice storage release operation when the time period for executing the peak-to-valley electricity price is executed, and the ice storage energy is released, and the electricity fee is low because the ice storage is executed when the time period for executing the peak-to-valley electricity price is executed.
Examples
The embodiment provides a cold accumulation control method for an air conditioning device with a cold accumulation function, as shown in fig. 1, comprising the following steps:
s1: collecting historical data recording the refrigeration power required by the period of executing the peak electricity price;
s2: predicting the energy storage amount required by the next day for executing the peak electricity price period;
s3: determining the energy storage amount of a time period before the next day when the peak-valley electricity price is executed according to the required refrigeration power;
s4: cold storage is performed to the stored energy calculated at step S3 in the period before the next day when the peak-to-valley electricity prices are executed.
The present embodiment determines the stored energy in the previous energy storage cycle by predicting the stored energy required for the period of the next day in which the peak-to-peak electricity prices are executed. Through control energy storage for under the insufficient condition of electric energy, carry out abundant utilization to the electric energy, can prevent the energy storage loss simultaneously, improve the electric energy rate of utilization.
For different acquired historical data, the following specific embodiments can be selected:
1. the historical data is the energy storage amount W required by the time period of executing the peak electricity price on the previous day;
the historical data in the step S1 is the cooling power W required for the period of time for which the peak electricity price was executed on the previous day;
s2, when W is larger than or equal to K times the rated total cold storage (the maximum power of the ice storage device capable of storing ice) of the ice storage device, storing the ice of the ice storage device to the rated total cold storage when executing peak-valley electricity price, wherein K is smaller than or equal to 1;
when W is less than K times the rated total cold storage amount of the ice storage device, the ice storage device stores ice to 1/K.W when peak-valley electricity price is executed.
2. The historical data is the refrigeration power required by the period of executing the peak electricity price for a plurality of previous days;
the history data in the step S1 is the amount of energy storage required for the period of time in which the peak electricity rate is executed for a plurality of days,
in step S2, the average value W of the energy stored for a plurality of days is first obtainedAverageWhen W isAverageWhen K times of the rated total cold accumulation of the ice storage device is more than or equal to K times, the ice storage device stores ice to the rated total cold accumulation when peak-valley electricity price is executed, wherein K is less than or equal to 1;
when W isAverageWhen the total cold storage capacity is less than K times of the rated total cold storage capacity of the ice storage device, the ice storage device stores ice to 1/K.W when the peak-valley electricity price is executedAverage。
3. The historical data is the energy storage amount required by the period of executing the peak electricity price for a plurality of days, and meanwhile, the temperature data also needs to be collected;
s1, collecting historical data of energy storage required by the time interval for recording the peak-period electricity price, collecting air temperature data of the current day, and establishing a relation curve between air temperature and refrigeration power through regression analysis;
when the stored energy required for the period of time for which the peak electricity price is executed on the next day is predicted in the step S2, the temperature data of the weather forecast on the next day is acquired first, and the corresponding cooling power is acquired according to the relationship curve.
It should be noted that, in general, many day-ahead data are not intercepted, and data of nearly 5 days are generally selected.
The K is preferably 0.8, but may be determined according to the refrigerating efficiency of the ice storage device and the refrigerating capacity space to be reserved.
The step S4 also estimates the time for the ice storage device to store ice until the required energy is stored, and controls the operation time of the ice storage device to be the later stage of the peak-to-valley electricity rate execution period. The calculation can be carried out as a function of the energy storage capacity (energy storage capacity per hour, determined by the device) of the ice storage device.
For example, if 1000W is required and the ice storage device stores 200W per hour, the ice storage device operates for 5 hours, and the ice storage device operates from 3 to 8 am in the early morning.
Example 2
The present embodiment provides an air conditioning apparatus cold storage control apparatus having a cold storage function, including:
a data collection module: a data acquisition unit for collecting historical data recording the cooling power required for the period of time for executing the peak electricity price;
a prediction module: an energy storage amount required for predicting a period for which the peak electricity price is executed next day; determining the energy storage amount of the time period for executing the peak-valley electricity price before the next day according to the required energy storage amount;
a control module: the cold accumulation is performed to the accumulated energy calculated in the determination module with a period of time for controlling the cold accumulation device to perform peak-to-valley electricity prices before the next day.
The historical data in the data collection module is the refrigerating capacity W required by the time period for executing the peak electricity price on the previous day;
when W is more than or equal to K times of the rated total cold accumulation of the ice storage device in the prediction module, the ice storage device stores ice to the rated total cold accumulation when peak-valley electricity price is executed, wherein K is less than or equal to 1;
when W is less than K times the rated total cold storage amount of the ice storage device, the ice storage device stores ice to 1/K.W when peak-valley electricity price is executed.
Optionally, the historical data in the data collection module is the refrigerating capacity required by the period of executing peak electricity price for multiple days,
firstly, the average value W of the refrigerating capacity of multiple days is obtained in the prediction moduleAverageWhen W isAverageWhen the total cold storage capacity is more than or equal to K times of the rated total cold storage capacity of the ice storage device, the peak-valley electricity price is executedThe ice storage device stores ice to rated total cold storage capacity, wherein K is less than or equal to 1;
when W isAverageWhen the total cold storage capacity is less than K times of the rated total cold storage capacity of the ice storage device, the ice storage device stores ice to 1/K.W when the peak-valley electricity price is executedAverage。
Optionally, the data collection module collects historical data of refrigerating capacity required by the period of executing peak electricity price, collects air temperature data of the day, and establishes a relation curve between air temperature and refrigerating power through regression analysis;
when the refrigerating power required by the time interval when the next day carries out the peak electricity price is predicted in the prediction module, the temperature data of the weather forecast of the next day is firstly obtained, and the corresponding energy storage amount is determined according to the relation curve.
The control module also estimates the ice storage time of the ice storage device and controls the working time of the ice storage device to be the later period of the peak-valley electricity price execution period.
In light of the foregoing description of the preferred embodiments according to the present application, it is to be understood that various changes and modifications may be made without departing from the spirit and scope of the invention. The technical scope of the present application is not limited to the contents of the specification, and must be determined according to the scope of the claims.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Claims (10)
1. A cold accumulation control method of an air conditioner device with a cold accumulation function is characterized by comprising the following steps:
s1: collecting historical data recording the refrigeration power required by the period of executing the peak electricity price;
s2: predicting the energy storage amount required by the next day for executing the peak electricity price period;
s3: determining the energy storage amount of a time period before the next day when the peak-valley electricity price is executed according to the required energy storage amount;
s4: cold storage is performed to the stored energy calculated at step S3 in the period before the next day when the peak-to-valley electricity prices are executed.
2. The cold storage control method for an air conditioning device with a cold storage function as claimed in claim 1, wherein the history data in the step S1 is a cooling capacity W required for a period of time for which peak electricity prices were carried out on the previous day;
s2, when W is larger than or equal to K times the rated total cold storage amount of the ice storage device, storing ice of the ice storage device to the rated total cold storage amount when peak-valley electricity price is executed, wherein K is smaller than or equal to 1;
when W is less than K times the rated total cold storage amount of the ice storage device, the ice storage device stores ice to 1/K.W when peak-valley electricity price is executed.
3. An air conditioner cold accumulation control method with cold accumulation function as claimed in claim 1 or 2, characterized in that said history data in step S1 is refrigerating capacity required for the period of multi-day execution of peak electricity price,
in the step S2, the average value W of the refrigerating capacity of multiple days is firstly obtainedAverageWhen W isAverageWhen K times of the rated total cold accumulation of the ice storage device is more than or equal to K times, the ice storage device stores ice to the rated total cold accumulation when peak-valley electricity price is executed, wherein K is less than or equal to 1;
when W isAverageWhen the total cold storage capacity is less than K times of the rated total cold storage capacity of the ice storage device, the ice storage device stores ice to 1/K.W when the peak-valley electricity price is executedAverage。
4. A cold storage control method for an air conditioning device with a cold storage function as claimed in any one of claims 1 to 3, wherein the step S1 collects historical data of refrigerating capacity required for recording the period of time for executing peak electricity price and also collects temperature data of the day, and a relation curve of temperature and refrigerating power is established by regression analysis;
when the cooling power required for the next day during the time period in which the peak electricity price is executed is predicted in step S2, the temperature data of the weather forecast for the next day is acquired first, and the corresponding stored energy is determined from the relationship curve.
5. An air conditioner cold accumulation control method with cold accumulation function as claimed in any one of claims 1 to 4 wherein the step of S4 also estimates the ice storage time of the ice storage device and controls the operation time of the ice storage device to be the later stage of the peak-to-valley electricity price period.
6. An air conditioning device cold accumulation control device with a cold accumulation function is characterized by comprising:
a data collection module: a data acquisition unit for collecting historical data recording the cooling power required for the period of time for executing the peak electricity price;
a prediction module: an energy storage amount required for predicting a period for which the peak electricity price is executed next day; determining the energy storage amount of the time period for executing the peak-valley electricity price before the next day according to the required energy storage amount;
a control module: the cold accumulation is performed to the accumulated energy calculated in the determination module with a period of time for controlling the cold accumulation device to perform peak-to-valley electricity prices before the next day.
7. An air conditioning device cold accumulation control device with cold accumulation function as claimed in claim 6, wherein said history data in the data collection module is refrigerating capacity W required for the period of time before the peak electricity price is executed;
when W is more than or equal to K times of the rated total cold accumulation of the ice storage device in the prediction module, the ice storage device stores ice to the rated total cold accumulation when peak-valley electricity price is executed, wherein K is less than or equal to 1;
when W is less than K times the rated total cold storage amount of the ice storage device, the ice storage device stores ice to 1/K.W when peak-valley electricity price is executed.
8. An air conditioning device cold accumulation control device with cold accumulation function according to claim 6 or 7, characterized in that said historical data in data collection module is the refrigerating capacity required for the period of multi-day execution of peak electricity price,
firstly, the average value W of the refrigerating capacity of multiple days is obtained in the prediction moduleAverageWhen W isAverageWhen K times of the rated total cold accumulation of the ice storage device is more than or equal to K times, the ice storage device stores ice to the rated total cold accumulation when peak-valley electricity price is executed, wherein K is less than or equal to 1;
when W isAverageWhen the total cold storage capacity is less than K times of the rated total cold storage capacity of the ice storage device, the ice storage device stores ice to 1/K.W when the peak-valley electricity price is executedAverage。
9. An air conditioning device cold accumulation control device with cold accumulation function according to any of claims 6-8, characterized in that the data collection module collects historical data of refrigerating capacity required for recording the time period of executing peak electricity price and collects air temperature data of the day, and establishes a relation curve of air temperature and refrigerating power through regression analysis;
when the refrigerating power required by the time interval when the next day carries out the peak electricity price is predicted in the prediction module, the temperature data of the weather forecast of the next day is firstly obtained, and the corresponding energy storage amount is determined according to the relation curve.
10. An air conditioning device cold accumulation control device with cold accumulation function as claimed in any one of claims 6 to 9, characterized in that the control module also estimates the ice storage time of the ice storage device and controls the working time of the ice storage device to be the later stage of the peak-valley electricity price execution period.
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| CN113701275A (en) * | 2021-09-02 | 2021-11-26 | 西安思安云创科技有限公司 | Ice storage air conditioner cold storage amount prediction method and device based on machine learning |
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| CN111076376A (en) * | 2019-12-18 | 2020-04-28 | 西安建筑科技大学 | Method and system for predicting cold load demand and distributing ice storage air conditioner load |
| CN112178839A (en) * | 2020-09-09 | 2021-01-05 | 珠海格力电器股份有限公司 | Photovoltaic ice storage air conditioner prediction control method and photovoltaic ice storage air conditioner using same |
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| CN113701275A (en) * | 2021-09-02 | 2021-11-26 | 西安思安云创科技有限公司 | Ice storage air conditioner cold storage amount prediction method and device based on machine learning |
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