FRAMEWORK BASED ON FUZZY EXPERT SYSTEM MODEL FOR PREDICTION OF ELECTRIC LOAD DEMAND-SUPPLY BALANCE
Keywords:
post privatization, load prediction, Framework, Fuzzy Expert SystemAbstract
Fuzzy expert system model is a resilience approach in short term predicting of electricity load. In this study, the post privatisation electricity framework in Nigeria was examined and found that, load distribution was not based on the demand by the users which often led to underutilization of load transmitted to the distribution company despite the fact that, the available power is not sufficient. The contribution to the framework is to enable distribution of electricity that is based on location specific load requirement. To achieve this, fuzzy expert system is integrated to the post privatisation framework with temperature, humidity, rainstorm, time of the day, previous load history, standard of living and history of previous bill payment were used as the inputs parameter for the fuzzy expert system. The integration of the fuzzy expert model to the previous framework is to predict electricity that is affordable to the users thereby reducing the amount of the unused electricity as well as reducing the accumulated bill resulted from the inability of the users to pay for what it consume.
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