Review paper
Energy load time-series forecast using decomposition and autoencoder integrated memory network
Abstract
With the increasing population and rising living standard, the demand for energy and materials have increased to a greater extent. The accurate estimation of increasing electricity demand is prerequisite for strategies planning, improving revenue, reducing power wastage and stable operation of the energy demand management system. Recent advancements in the field of electricity load forecasting provide powerful tools to capture non-linear energy...
Paper Details
Title
Energy load time-series forecast using decomposition and autoencoder integrated memory network
Published Date
Aug 1, 2020
Journal
Volume
93
Pages
106390 - 106390
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