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Deep Learning with Dipper Throated Optimization Algorithm for Energy Consumption Forecasting in Smart Households

One of the relevant factors in smart energy management is the ability to predict the consumption of energy in smart households and use the resulting data for planning and operating energy generation. For the utility to save money on energy generation, it must be able to forecast electrical demands a...

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Hoofdauteurs: Abdelaziz A. Abdelhamid, El-Sayed M. El-Kenawy, Fadwa Alrowais, Abdelhameed Ibrahim, Nima Khodadadi, Wei Hong Lim, Nuha Alruwais, Doaa Sami Khafaga
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: MDPI AG 2022-12-01
Reeks:Energies
Onderwerpen:
machine learning
energy consumption
smart household
long short-term memory
dipper throated optimization
meta-heuristic optimization
Online toegang:https://www.mdpi.com/1996-1073/15/23/9125
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