Effect of Gas and Electricity Price on Energy Consumption Rate for Residential Sector in Taiwan Based on Fuzzy Rules

Abstract

In this study, the adaptive network-based fuzzy inference system (ANFIS) was used to generate the fuzzy rules for discussing the effects of gas and electricity price on residential sector’s energy consumption rate (RSECR) in Taiwan. Twenty seven fuzzy rules of Sugeno type were generated from ANFIS. It was found that the fuzzy rules did not reveal the significance when the situation was extreme, i.e. one input variable was low but another one was high. When all three input variables fell in the low degree of membership, the output RSECR values tended to be “high”. When all three input variables fell in the high degree of membership, the output RSECR values tended to be “low” even “negative”. It suggested that higher energy price would inhibit RSEC.