A Machine Learning-Assisted Clustering Engine to Enhance the Accuracy of Hourly Load Forecasting

Chaharmahali, Javid Majidi; Shabanzadeh, Morteza

doi:10.1109/sgc52076.2020.9335762

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Progressions In Ann Framework For Optimizing Metal Adsorptio...1

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2023

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“…The SOS has drawn considerable attention in several optimization fields as compared to differential evolution (DE) and particle swarm optimization (PSO) due to its simple procedure and consistency in accurate predictions. 110–113…”

Section: Progressions In Ann Framework For Optimizing Metal Adsorptio...mentioning

confidence: 99%

“…The SOS has drawn considerable attention in several optimization elds as compared to differential evolution (DE) and particle swarm optimization (PSO) due to its simple procedure and consistency in accurate predictions. [110][111][112][113] Moradi et al, 2020 used a hybrid of Bayesian regularization (BR) and Grey wolf optimizer (GWO) with ANN to model Pb(II) and Co(II) adsorption on pistachio shells. 101 The ANN space was initially optimized using the BR algorithm, using principles of probability distributions to prevent overtting of the ANN.…”

Section: Ensemble Ann Frameworkmentioning

confidence: 99%

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