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• W2793445154 abstract "For energy planning, forecasting the energy demand for a specific time interval and supply of a specific source is very crucial. In the energy sector, forecasting may be long term, midterm or short term. While traditional forecasting techniques provide results for crisp data, for data with imprecision or vagueness fuzzy based approaches can be used. In this chapter, fuzzy forecasting methods such as, fuzzy time series (FTS), fuzzy regression, adaptive network-based fuzzy inference system (ANFIS) and fuzzy inference systems (FIS) as explained. Later, an extended literature review of fuzzy forecasting in energy planning is provided. Finally, a numerical application is given to give a better understanding of fuzzy forecasting approaches." @default.
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• W2793445154 date "2018-01-01" @default.
• W2793445154 modified "2023-09-27" @default.
• W2793445154 title "Fuzzy Forecasting Methods for Energy Planning" @default.
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• W2793445154 doi "https://doi.org/10.1007/978-3-319-75690-5_4" @default.
• W2793445154 hasPublicationYear "2018" @default.
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