Short-Term Load Forecasting Using Adaptive Annealing Learning Algorithm Based Reinforcement Neural Network

Short-Term Load Forecasting Using Adaptive Annealing Learning Algorithm Based Reinforcement Neural Network

A reinforcement learning algorithm is proposed to improve the accuracy of short-term load forecasting (STLF) in this article. The proposed model integrates radial basis function neural network (RBFNN), support vector regression (SVR), and adaptive annealing learning algorithm (AALA). In the proposed...

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Bibliographic Details
Main Authors: Cheng-Ming Lee, Chia-Nan Ko
Format: Article
Language:English
Published: MDPI AG 2016-11-01
Series:Energies
Subjects:
short-term load forecasting
radial basis function neural network
support vector regression
particle swarm optimization
adaptive annealing learning algorithm
Online Access:http://www.mdpi.com/1996-1073/9/12/987

Internet

http://www.mdpi.com/1996-1073/9/12/987

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