A Short-Term Load Interval Forecasting Method Based on EEMD-SE and PSO-KELM

A Short-Term Load Interval Forecasting Method Based on EEMD-SE and PSO-KELM

Accurate load forecasting plays an important role in power system. In recent years, a large number of load forecasting studies show that compared with point forecasting, interval forecasting of load can effectively ensure the safe operation of power system. This paper presents a short-term load inte...

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Bibliographic Details
Main Authors: Lin ZHANG, Jichun LIU
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2021-03-01
Series:Zhongguo dianli
Subjects:
load forecasting
ensemble empirical mode decomposition
kernel extreme learning machine
interval forecasting
load characteristics
parameter optimization
Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202001103
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https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202001103

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