﻿ 电力系统中长期负荷预测的大数据分析

# 电力系统中长期负荷预测的大数据分析Big Data Analysis of Mid-Long Term Load Forecasting in Power System

Abstract: A mid-long term load forecasting method based on big data theory is proposed because of the present complicated forecasting models and bad adaptability. The method focuses on the data and the load in large area is partitioned to different levels and classified to different types. Then the relationships among data are researched. Based on the characteristic of each partition and analysis of corresponding data, the load forecasting model is established, and thus the elaborate load forecasting is realized. In the end, the validity of the method is proved by practical example in power system.

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