A Fuzzy Logic based Residential Electrical Energy Optimisation System based on Time of Use Tariffs

Lucia Busisiwe Rabaza, Mbuyu Sumbwanyambe, Reginald Netshikweta


Globally energy management has become a challenge and concern due to rapid increase in energy demand and energy security. In South Africa, electricity supply problems has resulted in load shedding and steep increase in electricity cost. The objective of this paper is to optimise the residential electricity consumption by scheduling the household appliances in line with the time of use (TOU) tariffs. This was done through a fuzzy logic electrical energy controller. The optimisation was achieved by varying load consumption per hour. The fuzzy rules were designed to make intelligent decisions considering the time of use tariff, the remaining daily limit and load consumption. The preferred number of days were set by the consumer and the system calculated the daily limit considering the available amount of electricity in smart meter. The findings showed that the fuzzy logic optimised the residential electricity consumption by scheduling the household appliances in line with the time of use (TOU) tariffs. The fuzzy logic may provide a way in which the smart meter could optimise and enhance the electricity user consumption.


Demand response; Demand side management; Fuzzy logic; Residential energy control; Time of use

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