Mid-term electricity load prediction using CNN and Bi-LSTM

Electricity is one of the critical role players to build an economy. Electricity consumption and generation can affect the overall policy of the country. Such importance opens an area for intelligent systems that can provide future insights. Intelligent management for electric power consumption requ...

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Veröffentlicht in:	The Journal of supercomputing 2021-10, Vol.77 (10), p.10942-10958
Hauptverfasser:	Gul, M. Junaid, Urfa, Gul Malik, Paul, Anand, Moon, Jihoon, Rho, Seungmin, Hwang, Eenjun
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence for Smart Cities Artificial neural networks Autoregressive models Compilers Computer Science Consumption Datasets Electric power Electric power supplies Electricity Electricity consumption Electricity distribution Interpreters Machine learning Model accuracy Power consumption Processor Architectures Programming Languages Statistical analysis
Online-Zugang:	Volltext
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