FUZZY LOGIC-BASED ENERGY MANAGEMENT SYSTEM FOR HYBRID RENEWABLE ENERGY SOURCES

This study reviews the applications of fuzzy logic in energy management systems (EMS) for hybrid renewable energy systems (HRES). Hybrid Renewable Energy Systems (HRES) constitute a collection of renewable sources, including solar, wind or hydropower to provide energy reliably and sustainably, however their performance is highly influenced by the intermittent and unpredictable characteristics of green energy generation. Thanks to its capacity to work in the shaded overall vision, fuzzy logic is an excellent fit for this obstacle in spite of uncertainty, undeniable and deficient information. The key components of the fuzzy logic-based EMS are (fuzzification, rule base, inference mechanism and defuzzification) which demonstrate how these components support an adaptive and intelligent energy management. This contributes to the flexibility, efficiency and reliability of HRES by dynamically responding to fluctuations in energy generation and demand. As per the paper, using fuzzy logic together with artificial intelligence and machine learning can also help improve forecasting and decision-making. All in all, fuzzy logic shows itself as a useful mechanism for sustainable energy optimization.

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Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-02
DOI
https://doi.org/10.5281/zenodo.19384760
Primary Topic
Hybrid Renewable Energy Systems
Type
article
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article

FUZZY LOGIC-BASED ENERGY MANAGEMENT SYSTEM FOR HYBRID RENEWABLE ENERGY SOURCES

Josiah Pelemo, B.J. Ojerinde, W. O. Adedeji, A.G. Ajiboye et al.
Zenodo (CERN European Organization for Nuclear Research)
Hybrid Renewable Energy Systems
article

FUZZY LOGIC-BASED ENERGY MANAGEMENT SYSTEM FOR HYBRID RENEWABLE ENERGY SOURCES

Josiah Pelemo, B.J. Ojerinde, W. O. Adedeji, A.G. Ajiboye, I.N. Okpara, A.I. Yekeen, O. O. Adetayo, J.O. Fanifosi, I.M. Molokwu
article en

Abstract

This study reviews the applications of fuzzy logic in energy management systems (EMS) for hybrid renewable energy systems (HRES). Hybrid Renewable Energy Systems (HRES) constitute a collection of renewable sources, including solar, wind or hydropower to provide energy reliably and sustainably, however their performance is highly influenced by the intermittent and unpredictable characteristics of green energy generation. Thanks to its capacity to work in the shaded overall vision, fuzzy logic is an excellent fit for this obstacle in spite of uncertainty, undeniable and deficient information. The key components of the fuzzy logic-based EMS are (fuzzification, rule base, inference mechanism and defuzzification) which demonstrate how these components support an adaptive and intelligent energy management. This contributes to the flexibility, efficiency and reliability of HRES by dynamically responding to fluctuations in energy generation and demand. As per the paper, using fuzzy logic together with artificial intelligence and machine learning can also help improve forecasting and decision-making. All in all, fuzzy logic shows itself as a useful mechanism for sustainable energy optimization.

Zenodo (CERN European Organization for Nuclear Research)
Yaba College of Technology (NG), Naval State University (PH), Osun State University (NG), Federal Polytechnic Nekede (NG), Federal Polytechnic Ede (NG), Federal University of Technology Minna (NG)
Affordable and clean energy
Openalex Percentile: Top 10%
Hybrid Renewable Energy Systems
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