A Hybrid Model for Short-Term Load Forecasting Based on Novel Input Sequence Selection and CSO Optimized Depth Belief Network

A Hybrid Model for Short-Term Load Forecasting Based on Novel Input Sequence Selection and CSO Optimized Depth Belief Network

Accurate power load forecasting is crucial to the safe and stable operation of power systems. In the context of spot market, the dynamically changing real-time market tariff gives the “commodity” property of electricity and changes the electricity consumption behavior of custom...

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Bibliographic Details
Main Authors: Wang Yanan, Wu Jiekang, Lei Zhen
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Short-term load forecasting
real-time electricity price
input sequence selection
improved grey correlation analysis
deep belief network
Online Access:https://ieeexplore.ieee.org/document/10287535/

Internet

https://ieeexplore.ieee.org/document/10287535/

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