JP2007020314A - Power demand prediction system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a power demand prediction system capable of improving the prediction accuracy. <P>SOLUTION: Respective customers 7a to 7n are notified of predicted individual power usage of every predetermined time of a particular day. An enterprise-side processor 2 compares the estimated individual power usage with actual individual power usage, and discounts power charge when the estimated individual power usage is approximately the same as an actual one. This enables power prediction processing portions 19a to 19n to utilize high-reliability prediction methods for power usage unique to the respective customers 7a to 7n. Furthermore, PPS enterprise 1 can calculate the predicted total power usage by using high reliability predicted individual power usage, and can bring a reservation to a power producer 3 close to the actual power usage of the respective customers. Thus, efficient power supply and demand control can be attained. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a power supply and demand prediction system that predicts the amount of power used to supply a large number of unspecified consumers, such as a PPS provider (specific scale electric utility).

Conventional power demand forecasting systems are generally used by the system administrator of the central control unit installed in the central control room, or by system operators such as the system owner and the sales department of the company, such as the weather and temperature. It is known to perform power demand prediction based on weather data and to consider whether there is a social event (for example, see Non-Patent Document 1). There is also known a system in which each consumer is provided with a terminal device, and the terminal device transmits information on power usage and private power generation facility information (see, for example, Patent Document 1).
JP 2002-78201 A Pages 180 and 181 of Taiji Sekine "Power System Engineering" (Denki Shoin)

  However, in the conventional power demand support system, it is difficult to accurately grasp information unique to each consumer even if the total power consumption for a specific day is calculated based on various information obtained from each consumer. There was a limit to improving the calculation accuracy of the predicted total power consumption. Moreover, when a sudden event or event content change occurs, this information could not be fully reflected in the power generation plan. As a result, an inaccurate power demand prediction is generated, and wasteful power generation may be performed.

  An object of the present invention is to provide a power demand prediction system that can further improve the prediction accuracy.

  In order to achieve the above object, the present invention provides a power demand prediction system having an operator side processing device that calculates a predicted total power consumption amount on a specific day, wherein the operator side processing device is acquired from the consumer. It has the demand prediction process part which calculates the said prediction total electric power consumption based on the prediction separate electric power information which shows transition of the prediction individual electric energy at least every predetermined time on a specific day.

  Further, the present invention described in claim 2 is the one described in claim 1, in which the operator-side processing device has the predicted individual power amount acquired from the consumer and the actual individual use actual power amount on a specific day. And a charge calculation processing unit for calculating a power charge reflecting the discount charge when the discount condition is satisfied.

  Further, the present invention described in claim 3 is the one described in claim 1, in which the operator-side processing device has the predicted individual power amount acquired from the consumer and the actual individual use actual power amount on a specific day. And an alert notification unit for notifying the customer of an alert when the difference exceeds a set value.

  Furthermore, the present invention described in claim 4 is the one described in claim 1, wherein the operator-side processing device is configured to cause the predicted total power amount based on the predicted individual power amount acquired from the consumer and the actual date on the specific date. A supply and demand monitoring processing unit is provided that monitors a difference from the total actual power consumption amount and changes the generator command so as to correspond to the actual total actual power consumption amount.

  Furthermore, the present invention according to claim 5 is the power demand forecasting system having a consumer side processing device connected via a communication line to a provider side processing device that calculates a predicted total power consumption amount on a specific day. The consumer-side processing device includes a data transmission unit that transmits predicted individual power information indicating a transition of the predicted individual power amount at least every predetermined time on a specific day.

  Furthermore, the present invention described in claim 6 is the one described in claim 5, wherein the consumer-side processing device is configured to compare the actual individual use actual power amount on a specific day with the predicted individual power amount. A power control device for controlling the equipment used is provided.

  The power demand prediction system according to the present invention does not calculate the predicted individual power consumption of individual consumers by the provider side processing device, but calculates the predicted individual power consumption from the customer side who knows the characteristics of the demand best. By using it, it becomes possible to perform power demand prediction with high accuracy. Thereby, the business operator side can suppress the margin of the generator and the purchased power from the electric power company, which have been performed assuming an error, and can reduce the cost.

  In addition, the power demand prediction system according to the present invention as claimed in claim 2 compares the predicted individual power amount acquired from the consumer with the actual individual use actual power amount on the specific day and satisfies the discount condition. Since the charge calculation processing unit for calculating the power charge reflecting the above is provided, it is possible to promote the accuracy improvement of the predicted individual power amount in each consumer, and thereby the accuracy of the predicted total power consumption can be further improved.

  In addition, the power demand prediction system according to the third aspect of the present invention monitors the difference between the predicted individual power amount acquired from the consumer and the actual individual use actual power amount on the specific day, and this difference indicates the set value. Since an alert notification unit is provided to notify the customer when the limit is exceeded, it can be urged to adjust the power usage to match the predicted individual power amount from the customer side. The accuracy can be further improved.

  Furthermore, the power demand prediction system according to the present invention described in claim 4 monitors the difference between the predicted total power amount based on the predicted individual power amount acquired from the consumer and the actual total used actual power amount on the specific day, Since the supply and demand monitoring processing unit that changes the generator command to correspond to the actual total actual power consumption is provided, even if there is a difference between the actual total actual power consumption on a specific day, the actual total usage Efficient power generation according to the actual amount of power can be performed.

  Furthermore, the power demand prediction system according to the present invention as set forth in claim 5 does not calculate the predicted individual power consumption of each consumer by the provider side processing device, but from the consumer side who knows the characteristics of the demand best. Therefore, it is possible to perform power demand prediction with higher accuracy. As a result, operators can help reduce costs by reducing the margin of generators and power purchased from electric power companies, assuming errors, compared to conventional products. it can.

  Furthermore, the power demand prediction system according to the present invention as set forth in claim 6 is provided with the power control device for controlling the electricity use facility while comparing the actual individual use actual power amount and the predicted individual power amount on a specific day. It is now possible to match the actual amount of individual power used to the predicted individual power amount declared by the customer. Can be held down more than before, and the benefits of highly accurate forecasts by consumers, such as discounts on power charges, can be shared while supporting cost reductions.

Hereinafter, the carrying of the present invention will be described with reference to the drawings.
FIG. 2 is a block diagram showing a power demand support system according to an embodiment of the present invention.
The provider-side processing device 2 that predicts and calculates the predicted total power consumption for an unspecified number of consumers 7a to 7n, such as the PPS provider (specific scale electric utility) 1, is the demand of a plurality of consumers 7a to 7n. Predicted individual power information representing the transition of the predicted individual power consumption at least every predetermined time on a specific day in the future is acquired in advance from the house-side processing devices 8a to 8n, and a certain specified based on the obtained predicted individual power information Calculate the predicted total amount of electricity used for the day and notify the power generation company side processing device 4 owned by the power generation company 3 or notify the power company side processing device 6 owned by the power company 5 as the purchased power amount Like to do. The power generation company 3 makes a power generation plan on a specific day based on the notification from the PPS company 1 or the like, or makes a power generation plan based on the notification from the electric power company 5, and each of the consumers 7a to 7n The power is received through the transmission line.

FIG. 1 is a block configuration diagram showing a power demand support system in which the above-mentioned provider side processing device 2 and each consumer 7a to 7n are connected.
The operator side processing device 2 of the PPS operator 1 includes the predicted individual power used at least every predetermined time, for example every 30 minutes, on a specific day from the customer side processing devices 8a to 8n grounded to the consumers 7a to 7n. Predictive individual power information representing the transition of the amount is obtained in advance, and the predicted total power consumption on a specific day in which past actual data and prediction parameters are added to the obtained predicted individual power information or this predicted individual power information. Considering whether to discount from the demand prediction processing unit 9 to be calculated and the predicted individual power consumption obtained from each consumer 7a-7n and the actual power consumption, the electricity charge for each consumer 7a-7n The charge calculation processing unit 10 that calculates the power generation, the power generation control processing unit 11 that calculates the command value of the generator in consideration of the supply and demand balance, and the predicted total use on a specific day obtained and calculated from each of the consumers 7a to 7n Electricity amount, specific day Demand-and-supply monitoring processing unit 12 that calculates a supply-demand balance based on the amount of power used in the day and the power generation results from the power generation company-side processing device 4, past data on each customer 7a-7n, and each customer 7a Storage unit 13 for storing various types of information including predicted individual power information for each date notified from ~ 7n, an input unit 14 operated by an operator, a display unit 15 for displaying each processing result, and the like. A communication unit 16 that communicates with the processing device, an information providing unit 17 that provides past information such as past event information and performance data, and current power consumption information to a corresponding consumer; And an alert notification unit 18 for notifying that the actual power consumption exceeds the obtained predicted individual power information.

  Here, the demand prediction processing unit 9 calculates the predicted total power consumption based on the total of the obtained predicted individual power information when all customers have contracted to transmit the predicted individual power information on a specific day in advance. The predicted total power consumption is calculated by taking into account calculation parameters or a unique method using each predicted individual power information, that is, taking into account prediction parameters such as past performance data and weather data. Moreover, the demand prediction process part 9 acquired from each consumer under this contract, when the customer who has contracted in advance to transmit the prediction individual electric power information on a specific day is a part of the whole. The predicted total power consumption may be calculated from the sum of the total of each predicted individual power consumption and the predicted individual power consumption calculated by other methods for other consumers.

  The demand of the customer 7a who has contracted to transmit the predicted individual power information representing the transition of the predicted individual power consumption at least every predetermined time on the specific day in the future to the business processor 2 of the PPS business 1 The house-side processing device 7a includes a demand prediction processing unit 19a that calculates prediction individual power information representing a transition of the predicted individual power consumption at least every predetermined time on a specific day by an original method, and a power amount for measuring the power amount. The data which transmits the electric energy by this pulse detection part 21a and the prediction separate electric power information by the demand prediction process part 19a to the provider side processing apparatus 2 via the communication line 23 which counts the electric energy by the total 20a And a transmission unit 22a.

  In addition, other demands that have contracted to transmit the predicted individual power information representing the transition of the predicted individual power consumption at least every predetermined time on a specific day in the future to the operator side processing device 2 of the PPS operator 1 The consumer-side processing device 7n of the house 7n includes a demand prediction processing unit 19n that calculates predicted individual power information representing a transition of the predicted individual power consumption at least every predetermined time on a specific day by an original method, and the power amount. The pulse detection unit 21n that counts the amount of power by the wattmeter 20n to be measured, the power amount by the pulse detection unit 21n, and the predicted individual power information by the demand prediction processing unit 19n via the communication line 23, the operator side processing device 2 The data transmission unit 22n to be transmitted to and the predicted individual power consumption for each predetermined time based on the predicted individual power information calculated by the demand prediction processing unit 19n and the pulse detection unit 21n And a power control unit 25 for controlling the power consumption of each electric equipment using 24a, 24b as the actual two by comparing the amount of power in the corresponding time and match.

  Other customers who have contracted as described above have a consumer-side processing device configured in the same manner, although not shown. On the other hand, a customer who does not have the above-described contract with the business processor side processing device 2 of the PPS business company 1 does not have the demand prediction processing unit 17a, for example, and constitutes a customer side processing device. . Each of the demand prediction processing units 19a to 19n described above can calculate the predicted individual power information manually, for example, by a program, or can notify the PPS operator 1 by telephone or the like. In the former case, the obtained predicted individual power information is stored in the storage unit 13 together with the customer, the reception date, and the specific date. In the latter case, the PPS operator 1 is notified by telephone from the input unit 14 to the storage unit 13. The power information is stored together with the customer, the reception date, and the specific date.

FIG. 3 is a flowchart showing the operation of the customer side processing devices 8a and 8n installed in the consumers 7a and 7n.
When the customer 7a, 7n plans an event or the like that is different from normal in step S1, the actual data in the past similar event is acquired in step S2 before the specific date. For example, since the performance data in the past similar event is stored in the storage unit 13 of the business entity side processing device 2, the business side processing device 2 is requested to provide the information and the performance data is obtained in advance. , Get the performance data of past similar events that you have in your place. In step S3, referring to the obtained actual data, the demand prediction processing units 19a and 19n calculate predicted individual power information representing the transition of the predicted individual power consumption every 30 minutes on the specific day, and the calculated prediction In step S4, the individual power information is notified from the data transmission units 22a and 22n to the operator-side processing device 2 of the PPS operator 1 via the communication line 23. The calculation of the predicted individual power information may employ a prediction method based on a unique program in the demand prediction processing units 19a and 19n, or may be created manually. The notification of the predicted individual power information may be limited to a case where an event different from normal is planned, or may reflect the power demand that changes depending on the day of the week or the month even during normal power use. In any case, the processing is performed on the operator side processing apparatus 2 at least by the previous day, for example, before the specific date.

  When the provider side processing device 2 detects that it is a request for notification of performance data from the consumers 7a to 7n, the information providing unit 17 extracts the corresponding customer's performance data stored in the storage unit 13, and performs communication. This is transmitted from the unit 16. In addition, when it is detected that the notification of the predicted individual power information from the consumers 7a to 7n is detected, the provider side processing device 2 stores the received date of the predicted individual power information, the specific date, and the customer information together with the storage unit 13. To store. The information providing unit 17 of the provider side processing device 2 determines the specific date before the specified date to receive the predicted individual power information on the specific date from each of the consumers 7a to 7n, regardless of whether there is a request from each of the consumers 7a to 7n. You may make it transmit the past performance data regarding to the consumer side processing apparatus 8a-8n of each consumer 7a-7n, respectively.

FIG. 4 is a flowchart showing the processing operation of the operator side processing device 2 when calculating the predicted total power consumption based on the predicted individual power information from the consumers 7a to 7n.
First, when it is detected that the predicted total power consumption amount for a specific day in step S5, for example, the day before the specific day is detected, the demand prediction processing unit 9 is stored in the storage unit 13 in step S6. The predicted individual power information on this specific day is taken out. Thereafter, the demand prediction processing unit 9 determines whether or not the predicted individual power information from all the consumers 7a to 7n has already been collected in step S7, and the predicted individual power information from all the consumers 7a to 7n is obtained. If collected, the predicted individual power information representing the transition of the predicted individual power consumption every 30 minutes is accumulated in step S8 to calculate the predicted total power usage every 30 minutes on the specific day. Thereafter, the provider-side processing device 2 notifies the calculated predicted total power consumption to the power generation-provider-side processing device 4 or the power company-side processing device 6 in step S9. Upon receiving this notification, the power generation company 3 or the electric power company 5 makes a power generation plan for a specific day and executes it.

  On the other hand, if the predicted individual power information from all the consumers 7a to 7n has not been collected in step S7, the first predicted total power consumption is calculated from the total of the predicted individual power information collected in step S9. For the customers who have not been collected, the second predicted total power consumption is calculated by another method as previously implemented in step S10, and the first predicted total usage is calculated in step S11. The predicted total power consumption is calculated by adding the power amount and the second predicted total power consumption. Thereafter, the provider-side processing device 2 notifies the calculated predicted total power consumption to the power generation-provider-side processing device 4 or the power company-side processing device 6 in step S9. When calculating the above-mentioned second predicted total power consumption, weather forecast data, past performance data, and event information for each specific day obtained by contacting each consumer from the PPS operator 1 A prediction system using the above as a prediction parameter, or other prediction systems can be used.

FIG. 5 is a flowchart showing the processing operation of the operator side processing device 2 on the specific day.
Upon detecting that the specific date has been reached in step S13, the provider side processing device 2 of the PPS operator 1 actually performs every 30 minutes from the customer side processing devices 8a to 8n of the respective consumers 7a to 7n in step S14. The power usage information including the individual usage actual power amount is received and stored in the storage unit 13. The actual power usage information every 30 minutes stored in the storage unit 13 is used as performance data for the corresponding consumer. On the day of the specific day, the customer side processing devices 8a to 8n of the consumers 7a to 7n receive the actual power usage information every 30 minutes acquired from the wattmeters 20a to 20n by the pulse detectors 21a to 21n. The communication line 23 is turned from ˜22n and transmitted to the provider side processing device 2 of the PPS provider 1. The supply and demand monitoring processing unit 12 of the operator side processing device 2 that has acquired the actual power usage information is included in the predicted total power usage on the specific day and the actual power usage information acquired on the specific day in step S15. The supply and demand balance is calculated on the basis of the total amount of actual power used and the actual power generation obtained from the power generation company processing unit 4. The power generation control processing unit 11 calculates a command value for the generator based on the calculation result, and corrects the power generation plan so that power generation is close to actual power use.

  In this way, from the predicted total power usage amount calculated on the specific day based on the information from each of the consumers 7a to 7n and the total actual power usage amount included in the actual power usage information obtained on the specific day, Since the power generation plan on a specific day is corrected, efficient power generation can be performed even if the prediction accuracy of the predicted individual power consumption obtained from each of the consumers 7a to 7n is low at the initial time.

FIG. 6 is a flowchart showing the processing operation of the alert notification unit 18 in the business entity side processing apparatus 2 on the specific day.
When the alert notification unit 18 detects that the specific date has been reached in step S16, the actual individual use actual power amount every 30 minutes acquired from each of the consumer side processing devices 8a to 8n in step S17, and each demand The predicted individual power consumption every 30 minutes on a specific day already obtained from the houses 7a to 7n is compared. If the difference between the two exceeds the set value in step S18, an alert is transmitted to the consumer side processing device in step S19. On the other hand, if the difference between the two does not exceed the set value in step S18, an alert is not notified. In step S20, the comparison monitoring is continued until the event end time, and the process ends when the end time is reached. The consumer who has received the alert adjusts the individual actual power consumption amount on the specific day so as to match the predicted individual power consumption amount. This adjustment can be done in various ways.

FIG. 7 is a flowchart showing the operation of the power control device 25n that adjusts the actual individual use actual power amount on the specific day by the consumer side processing device 8n.
When the power control device 25n detects that the specific date has been reached in step S21, the predicted individual power consumption every 30 minutes generated by the demand prediction processing unit 19n in step S22 and the pulse from the wattmeter 20n The actual individual use actual power amount every 30 minutes on the specific date acquired by the detection unit 21n is compared. When the difference between the two exceeds the set value in step S23, in step S24, the power control device 25n adjusts the usage status of the electricity usage facilities 24a and 24b so as to approach the predicted individual power consumption. On the other hand, if the difference between the two does not exceed the set value in step S23, this adjustment is not performed. The power control device 25n continues this comparison and monitoring until the end time is reached in step S25, and the operation ends when the end time is reached.

FIG. 8 is a flowchart showing the processing operation of the fee calculation processing unit 10 in the provider side processing device 2.
After the specific date in step S26 or after the end time of the event or the like, the charge calculation processing unit 10 predicts every 30 minutes on the specific date created by any customer stored in the storage unit 13 in step S27. The individual used electric energy X1 is taken out, and the actual individual used actual electric energy X2 stored in the storage unit 13 in step S28 is taken out. In step S29, the fee calculation processing unit 10 calculates the prediction error Y. This prediction error Y can be calculated, for example, as (X1-X2) / X1 every 30 minutes. The charge calculation processing unit 10 determines whether or not the charge discount condition is satisfied in the subsequent step S30. This fee discount condition is performed, for example, depending on whether the prediction error Y <5% or −3% <prediction error Y <3%. If the rate discount condition is satisfied in the determination in step S30, a discount fee is calculated in step S31, and a discounted power rate is calculated by subtracting this discount fee from the regular power rate in step S32. On the other hand, if the discount condition is not satisfied in the determination in step S30, the discount fee is set to zero.

  Thereafter, the billing of the power charge in the predetermined period is performed based on the above-described power charge calculation when the end of the month or a predetermined deadline date is reached as before. At this time, information on the predicted individual power usage amount on the specific day and the actual individual usage actual power amount is attached, and notification is made so that it can be seen whether or not a fee discount has been received.

  Each consumer 7a-7n which received this electric charge bill can compare the information of the prediction individual electric energy consumption of the specific day shown and the actual individual electric energy consumption amount actually used. Accordingly, in order to receive a further discount fee, each customer 7a-7n tries to improve the prediction accuracy of the predicted individual power consumption on a specific day, and as a result, introduces a highly accurate power usage prediction method. . Or the electric power control apparatus 25n is attached like the consumer 7n shown in FIG. 1, and it is going to approximate the actual individual use actual electric energy of a specific day on the prediction individual use electric energy.

  Thus, when notifying each customer 7a-7n of the notification of the predicted individual power consumption every 30 minutes on a specific day, the predicted individual power consumption is compared with the actual individual actual power consumption amount, and it is almost accurate. Since the electricity charge is discounted when the predicted individual power consumption is used, each of the consumers 7a to 7n is a power prediction processing unit 19a to 19n that uses a unique and highly reliable power usage prediction method. It is possible. Accordingly, since the PPS operator 1 can calculate the predicted total power consumption using each predicted individual power consumption with high reliability, the PPS operator 1 can make a reservation to the power generator 3 and the actual power consumption in each customer. Efficient power supply and demand can be performed by bringing the total actual power consumption closer.

  If the PPS operator 1 already has an excellent demand forecasting method, for example, if it owns a demand forecasting method that performs forecasting reflecting weather data, the customer will be asked before the specific date. Information on the predicted individual power consumption every 30 minutes by the demand prediction method can be presented, or can be presented in response to a request from a consumer. Each consumer can also transmit the predicted individual power consumption for every 30 minutes, which is created by reflecting the unique information while referring to the obtained predicted individual power consumption, to the business processor 2. The predicted individual power consumption is not necessarily limited to information every 30 minutes, and can be used.

  Thus, according to this power demand prediction system, the demand assumption that has been influenced by the characteristics and events of each consumer in the past uses the predicted individual power consumption from the consumer side who knows the characteristics of the demand most. Thus, it is possible to perform power demand prediction with high accuracy. As a result, the PPS operator 1 can reduce the margin of the generator and the power purchased from the power company, which have been performed assuming an error, and can reduce the cost. On the other hand, each consumer can receive a discount according to the notified predicted individual power consumption, so it can calculate the predicted individual power consumption with high accuracy, or calculate the actual individual used actual power consumption. Attempts are made to control according to the amount, and a reduction in power charges can be achieved.

  In addition, the power demand forecasting system described above is a power rate that reflects the discount rate when the predicted individual power amount obtained from a specific customer is compared with the actual individual use actual power amount on a specific day to satisfy the discount condition. Since the charge calculation processing unit 10 is calculated, each customer can promote the improvement of the accuracy of the predicted individual power amount by a prediction method devised independently by each customer. The accuracy of the power consumption can be further improved. Also, an alert notification unit that monitors the difference between the predicted individual power amount acquired from the customer and the actual individual use actual power amount on the specific day, and notifies the customer when the difference exceeds the set value 18 is provided, it is possible to prompt the user to adjust the power usage so as to match the predicted individual power amount from the customer side, thereby further improving the accuracy of the predicted total power consumption. Furthermore, the power demand forecasting system described above monitors the difference between the calculated predicted total power amount and the actual total actual power usage amount on the specific day, and issues a generator command to correspond to the actual total actual power usage amount. Since the supply / demand monitoring processing unit 12 to be changed is provided, even if there is a difference with the actual total used actual power amount on a specific day, it is possible to perform efficient power generation according to the actual total used actual power amount. .

  Furthermore, the above-described power demand prediction system does not calculate the predicted individual power consumption of individual consumers by the provider side processing device 2, but predicts individual demands from the consumers 7a-7n who know the demand characteristics best. Since the data transmission units 22a to 22n are provided so as to be able to notify the amount of power used, it is possible to perform power demand prediction with higher accuracy by making a unique device. As a result, operators can help reduce costs by reducing the margin of generators and power purchased from electric power companies, assuming errors, compared to conventional products. it can. Moreover, since the electric power control apparatus 25n which controls an electric use facility is provided in the consumer 7n, comparing the actual individual use actual electric energy and specific prediction electric energy on a specific day, the actual individual use actual electric energy is calculated. It becomes possible to match the predicted individual power amount declared by the customer, and the operator side can suppress the margin of the generator and the power purchased from the power company, which had been performed assuming an error, than before. In addition, while helping to reduce costs, it is possible to share benefits such as discounts on power charges, such as the benefits of accurate forecasts by consumers.

  The power demand prediction system of the present invention is not limited to the configuration shown in FIG. 1, and can be applied to power demand prediction systems having other configurations.

It is a block block diagram which shows the electric power demand prediction system by one embodiment of this invention. It is a schematic block block diagram of the electric power demand system which employ | adopted the electric power demand prediction system shown in FIG. It is a flowchart which shows the notification process of the prediction separate electric power information by the consumer side processing apparatus shown in FIG. It is a flowchart which shows operation | movement of the demand prediction process part in the provider side processing apparatus shown in FIG. It is a flowchart which shows operation | movement of the supply-and-demand monitoring process part in the provider side processing apparatus shown in FIG. It is a flowchart which shows the operation | movement of the alert notification part in the provider side processing apparatus shown in FIG. It is a flowchart which shows operation | movement of the electric power control apparatus in the consumer side processing apparatus shown in FIG. It is a flowchart which shows operation | movement of the charge calculation notification part in the provider side processing apparatus shown in FIG.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 PPS provider 2 Operator side processing device 3 Electric power generation operator 5 Electric power company 7a-7n Consumer 8a-8n Consumer side processing device 9 Demand prediction processing part 10 Charge calculation processing part 12 Supply and demand monitoring processing part 13 Storage part 17 Information Providing unit 18 Alert notification unit 19a to 19n Demand prediction processing unit 20a to 20n Power meter 21a to 21n Pulse detection unit 24a, 24b Electric equipment 25n Power control device

Claims (6)

  In a power demand prediction system having a provider side processing device that calculates a predicted total power usage amount on a specific day, the provider side processing device is a predicted individual power at least every predetermined time acquired from a consumer on a specific date. A power demand prediction system comprising a demand prediction processing unit that calculates the predicted total power consumption based on predicted individual power information indicating a change in amount.   In the thing of Claim 1, when satisfy | filling discount conditions by comparing the said prediction individual electric energy acquired from the said consumer and the actual individual use actual electric energy of a specific day on the said provider side processing apparatus. A power demand forecasting system comprising a charge calculation processing unit for calculating a power charge reflecting a discount charge.   2. The apparatus according to claim 1, wherein the difference between the predicted individual power amount acquired from the consumer and the actual individual use actual power amount on a specific day is monitored and set in the operator side processing device. An electric power demand prediction system comprising an alert notification unit for notifying an alert to the consumer when a value is exceeded.   The thing of Claim 1 WHEREIN: The said provider side processing apparatus monitors the difference of the estimated total electric energy based on the estimated individual electric energy acquired from the said consumer, and the actual total use actual electric energy on the specific day. A power demand forecasting system comprising a supply and demand monitoring processing unit that changes a generator command so as to correspond to an actual total actual power consumption amount.   In a power demand prediction system having a consumer-side processing device connected via a communication line to a provider-side processing device that calculates a predicted total power usage amount on a specific day, the consumer-side processing device has a specific date A power demand prediction system comprising a data transmission unit that transmits predicted individual power information indicating a transition of a predicted individual power amount at least every predetermined time. In the thing of Claim 5, the electric power control apparatus which controls an electric use facility is provided in the said consumer side processing apparatus, comparing the actual individual use actual electric power amount of a specific day, and the said prediction individual electric energy amount. A power demand forecasting system characterized by this.

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