Prediction of electrical load demand using combined LHS with ANFIS

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Detalles Bibliográficos
Publicado en:	PLoS One vol. 20, no. 6 (Jun 2025), p. e0325747
Autor principal:	Ismail, Ahmed G
Otros Autores:	Elbanna, Sayed H A, Mohamed, Hassan S
Publicado:	Public Library of Science
Materias:	Resource allocation Energy management Accuracy Comparative analysis Electrical loads Datasets Adaptability Forecasting Sensitivity analysis Demand analysis Hypercubes Health facilities Sampling Risk assessment Machine learning Time series Energy demand Energy consumption Efficiency Adaptive systems Performance measurement Infrastructure Predictions Decision making Neural networks Support vector machines Effectiveness Electric power demand Methods Literature reviews Monte Carlo simulation Latin hypercube sampling Economic
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