Short-Term Electricity Price Forecasting Based on BP Neural Network Optimized by SAPSO

Short-Term Electricity Price Forecasting Based on BP Neural Network Optimized by SAPSO

In the electricity market environment, the market clearing price has strong volatility, periodicity and randomness, which makes it more difficult to select the input features of artificial neural network forecasting. Although the traditional back propagation (BP) neural network has been applied earl...

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Bibliographic Details
Main Authors: Min Yi, Wei Xie, Li Mo
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Energies
Subjects:
electricity price forecast
maximum information number
Pearson coefficient
BP neural network
particle swarm optimization algorithm
simulated annealing algorithm
Online Access:https://www.mdpi.com/1996-1073/14/20/6514

Internet

https://www.mdpi.com/1996-1073/14/20/6514

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