Machine Learning Empowered Electricity Consumption Prediction

Electricity, being the most efficient secondary energy, contributes for a larger proportion of overall energy usage. Due to a lack of storage for energy resources, over supply will result in energy dissipation and substantial investment waste. Accurate electricity consumption prediction is vital bec...

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Veröffentlicht in:	Computers, materials & continua materials & continua, 2022, Vol.72 (1), p.1427-1444
Hauptverfasser:	Al Metrik, Maissa A, Musleh, Dhiaa A
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Bagging Computer networks Correlation coefficients Electric utilities Electricity Electricity consumption Energy consumption Energy dissipation Energy management Energy sources Energy storage Machine learning Normalizing Prediction models Root-mean-square errors Systems design Trigonometric functions
Online-Zugang:	Volltext
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