Load Forecasting Based on Genetic Algorithm–Artificial Neural Network-Adaptive Neuro-Fuzzy Inference Systems: A Case Study in Iraq

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dc.contributor.authorAL-Qaysi A.M.M.
dc.contributor.authorBozkurt A.
dc.contributor.authorAtes Y.
dc.date.accessioned2024-07-22T08:03:05Z
dc.date.available2024-07-22T08:03:05Z
dc.date.issued2023
dc.description.abstractThis study focuses on the important issue of predicting electricity load for efficient energy management. To achieve this goal, different statistical methods were compared, and results over time were analyzed using various ratios and layers for training and testing. This study uses an artificial neural network (ANN) model with advanced prediction techniques such as genetic algorithms (GA) and adaptive neuro-fuzzy inference systems (ANFIS). This article stands out with a comprehensive compilation of many features and methodologies previously presented in other studies. This study uses a long-term pattern in the prediction process and achieves the lowest relative error values by using hourly divided annual data for testing and training. Data samples were applied to different algorithms, and we examined their effects on load predictions to understand the relationship between various factors and electrical load. This study shows that the ANN–GA model has good accuracy and low error rates for load predictions compared to other models, resulting in the best performance for our system. © 2023 by the authors.
dc.identifier.DOI-ID10.3390/en16062919
dc.identifier.issn19961073
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/12117
dc.language.isoEnglish
dc.publisherMDPI
dc.rightsAll Open Access; Gold Open Access
dc.subjectElectric load forecasting
dc.subjectElectric power plant loads
dc.subjectFuzzy inference
dc.subjectFuzzy neural networks
dc.subjectFuzzy systems
dc.subjectAdaptive neuro-based fuzzy inference system
dc.subjectAdaptive neuro-fuzzy inference
dc.subjectCase-studies
dc.subjectElectrical load forecasting
dc.subjectElectricity load
dc.subjectFuzzy inference systems
dc.subjectLoad forecasting
dc.subjectLoad predictions
dc.subjectNetwork adaptive
dc.subjectNeuro-fuzzy inference systems
dc.subjectGenetic algorithms
dc.titleLoad Forecasting Based on Genetic Algorithm–Artificial Neural Network-Adaptive Neuro-Fuzzy Inference Systems: A Case Study in Iraq
dc.typeArticle

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