Short-term load forecasting using fuzzy logic and ANFIS

Abstract

This paper presents short-term load forecasting models, which are developed by using fuzzy logic and adaptive neuro-fuzzy inference system (ANFIS). Firstly, historical data are analyzed and weekdays are grouped according to their load characteristics. Then, historical load, temperature difference and season are selected as inputs. In general literature… (More)
DOI: 10.1007/s00521-014-1809-4

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