Performance Evaluation of the Impact of Clustering Methods and Parameters on Adaptive Neuro-Fuzzy Inference System Models for Electricity Consumption Prediction during COVID-19

Performance Evaluation of the Impact of Clustering Methods and Parameters on Adaptive Neuro-Fuzzy Inference System Models for Electricity Consumption Prediction during COVID-19

Increasing economic and population growth has led to a rise in electricity consumption. Consequently, electrical utility firms must have a proper energy management strategy in place to improve citizens’ quality of life and ensure an organization’s seamless operation, particularly amid unanticipated...

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Bibliographic Details
Main Authors: Stephen Oladipo, Yanxia Sun, Abraham Amole
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Energies
Subjects:
adaptive neuro-fuzzy inference systems
fuzzy c-means
grid-partitioning
subtractive-clustering
artificial neural networks
Online Access:https://www.mdpi.com/1996-1073/15/21/7863

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