Research on Electricity Forecasting Method Based on Big Data

Abstract

This paper is mainly based on big data to carry out electricity forecasting research. The trend of electricity changes in different regions, industries and periods is analyzed. Data is dug deep. By using algorithms such as time series, multiple linear regression and grey forecasting to forecast the electricity quantity, improve the short-term, mid-term and long-term electricity forecasting ability, and provide reliable data support for electricity forecasting. It has been verified by examples that this method can effectively improve the accuracy of electricity forecasting, achieve accurate forecasting of future electricity consumption, improve customer service capabilities, and improve the work efficiency of customer service departments.