Hybrid Modified Particle Swarm Optimization and Adaptive Neuro‐Fuzzy Inference System for Electric Power Consumption Prediction

Load forecasting is crucial in power system energy management, aiding planning and operations. The latest modified forecasting methods are important for best prediction of the electric power consumption of the load which nowadays are not practically implemented. As a result, hybrid modified particle...

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Veröffentlicht in:	International Journal of Photoenergy Jg. 2025; H. 1
Hauptverfasser:	Mossie, Molla Addisu, Sharew, Estifanos Abeje, Workineh, Tewodros Gera, Alemu, Yechale Amogne
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York John Wiley & Sons, Inc 01.01.2025 Wiley
Schlagworte:	Accuracy Adaptive systems Algorithms Business metrics Case studies Clustering Deep learning Electric power Electric power systems Electricity Energy consumption Energy management Energy management systems Energy use Ethiopia Forecasting Forecasting techniques Fuzzy logic Fuzzy sets Mathematical optimization Mean square errors Neural networks Optimization techniques Particle swarm optimization Performance evaluation Smart grid technology Time series Ethiopia
ISSN:	1110-662X, 1687-529X
Online-Zugang:	Volltext
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