20.500.12556/DKUM-90103 Methods and models for electric load forecasting a comprehensive review Electric load forecasting (ELF) is a vital process in the planning of the electricity industry and plays a crucial role in electric capacity scheduling and power systems management and, therefore, it has attracted increasing academic interest. Hence, the accuracy of electric load forecasting has great importance for energy generating capacity scheduling and power system management. This paper presents a review of forecasting methods and models for electricity load. About 45 academic papers have been used for the comparison based on specified criteria such as time frame, inputs, outputs, the scale of the project, and value. The review reveals that despite the relative simplicity of all reviewed models, the regression analysis is still widely used and efficient for long-term forecasting. As for short-term predictions, machine learning or artificial intelligence-based models such as Artificial Neural Networks (ANN), Support Vector Machines (SVM), and Fuzzy logic are favored. methods models electric load forecasting modeling electricity loads electricity industry power management logistics metode modeli električne obremenitve napovedovanje obremenitev z električno energijo modeliranje električnih obremenitev elektroenergetska industrija upravljanje električne energije logistika true false true Angleški jezik Slovenski jezik Članek v reviji 2024-08-22 14:55:43 2024-08-22 15:05:20 2026-05-06 11:58:30 0000-00-00 00:00:00 2020 0 0 str. 51-76 št. 1 Letn. 11 Feb. 2020 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2020-02-20 005.5 513089597 10.2478/jlst-2020-0004 2232-4968 https://doi.org/10.2478/jlst-2020-0004 1 d8e86a39-6085-11ef-bd3a-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=183068 RAZ_Hammad_Mahmoud_A._2020.pdf RAZ_Hammad_Mahmoud_A._2020.pdf 1 C7E67326A55621F2F07655FCE37F95D5 263c9b2bf0f05c7bd98ae0ae08481a266d67a9bf6faadad65f8829e16c0ea194 5898683e-6087-11ef-bd3a-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=183079 Fakulteta za logistiko Logistics, supply chain, sustainability and global challenges 0 0 0