Short Term Residential Load Forecasting: An Improved Optimal Nonlinear Auto Regressive (NARX) Method with Exponential Weight Decay Function

Short Term Residential Load Forecasting: An Improved Optimal Nonlinear Auto Regressive (NARX) Method with Exponential Weight Decay Function

The advancement in electrical load forecasting techniques with new algorithms offers reliable solutions to operators for operational cost reduction, optimum use of available resources, effective power management, and a reliable planning process. The focus is to develop a comprehensive understanding...

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Bibliographic Details
Main Authors: Farukh Abbas, Donghan Feng, Salman Habib, Usama Rahman, Aazim Rasool, Zheng Yan
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Electronics
Subjects:
short-term load forecasting (SLTF)
non-linear auto-regressive neural network with external input (NARX)
mean absolute percentage error (MAPE)
lightning search algorithm (LSA)
exponential weight decay (EWD)
Online Access:https://www.mdpi.com/2079-9292/7/12/432

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