Method for predicting power consumption demand of power supply area and related equipment

Abstract

The embodiment of the invention discloses a power demand prediction method for a power supply area and related equipment. The method comprises the following steps: acquiring sample power consumption data and preset power consumption data of the power supply area; inputting the first sample power consumption data into an initial training model to obtain predicted power consumption; judging whether the electric quantity error between the predicted electric quantity and the preset expected electric quantity is within a preset error range or not, and recording the electric quantity error; if not, updating the training model according to the electric quantity error, inputting the second sample electric quantity data into the training model to obtain the predicted electric quantity, and re-judging the predicted electric quantity; if yes, determining that the training model is a preset model; inputting the preset power consumption data into a preset model to obtain a predicted power consumption demand; and calculating an average value of the electric quantity errors, and determining a target power consumption demand according to the average value and the predicted power consumption demand. As the target power demand is obtained according to the factors influencing the power demand, the accuracy of predicting the power demand is improved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of grid power consumption, and in particular to a method and related equipment for forecasting power demand in a power supply station area. Background technique [0002] At present, due to factors such as the improvement of the level of electrification and the popularization of social informationization, power supply companies have begun to highlight many disadvantages, which has intensified the contradiction between power marketing and high-quality services. Customers began to have higher requirements for power quality. Although the power supply bureau has been improving customer satisfaction, there are still many complaints and work orders due to insufficient power supply capacity in the power supply station area every year. Power consumption forecasting is the key basis for power grid companies to formulate comprehensive production plans and business plans. Reasonable and accur...

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Problems solved by technology

[0003] In the existing technology, electricity consumption forecasting technology generally predicts demanded electricity consumption based on historical electricity consumption. Since there are many factors that affect electricity demand, if only based on historical electricity consumption to predict demanded electricity consumption Electricity, it will lead to low accuracy of forecasted demand electricity consumption

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