Empirical Mode Decomposition Based Deep Learning for Electricity Demand Forecasting

Empirical Mode Decomposition Based Deep Learning for Electricity Demand Forecasting

Electricity is of great significance for national economic, social, and technological activities, such as material production, healthcare, and education. The nationwide electricity demand has grown rapidly over the past few decades. Therefore, efficient electricity demand estimation and management a...

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Bibliographic Details
Main Authors:	Jatin Bedi, Durga Toshniwal
Format:	Article
Language:	English
Published:	IEEE 2018-01-01
Series:	IEEE Access
Subjects:	Deep learning electricity demand prediction empirical mode decomposition energy analytic long short term memory network
Online Access:	https://ieeexplore.ieee.org/document/8449937/

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