Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †

Background: With the development of smart grids, accurate electric load forecasting has become increasingly important as it can help power companies in better load scheduling and reduce excessive electricity production. However, developing and selecting accurate time series models is a challenging t...

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Prif Awduron:	Salah Bouktif, Ali Fiaz, Ali Ouni, Mohamed Adel Serhani
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2018-06-01
Cyfres:	Energies
Pynciau:	deep neural networks long short term memory networks short- and medium-term load forecasting machine learning feature selection genetic algorithm
Mynediad Ar-lein:	http://www.mdpi.com/1996-1073/11/7/1636
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!