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• W2023407830 abstract "Nowadays, there are huge ranges of energy market participants. Commercial success of this area actor depends on the ability to submit competitive predictions relative to energy balance trends Thus, it seems convenient to “anticipate” this parameter evolution in time in order to act consequently and resort to protective actions. In this context, this paper proposes a tool for energy balance prediction based on ANFIS (Adaptive Neuro Fuzzy Inference System). This neuro- fuzzy predictor is modified in order to obtain an accurate forecasting for medium term. The solutions are illustrated on a real application and take into account the known “future”: the programmed actions." @default.
• W2023407830 created "2016-06-24" @default.
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• W2023407830 date "2010-06-01" @default.
• W2023407830 modified "2023-10-18" @default.
• W2023407830 title "Medium term load forecasting using ANFIS predictor" @default.
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• W2023407830 doi "https://doi.org/10.1109/med.2010.5547727" @default.
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