FORECASTING OF RENEWABLE ENERGY PRODUCTION BY USING GENETIC ALGORITHM (GA) FOR DETERMININGHYDROGEN PRODUCTION POTENTIAL
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My topic of thesis is about constructing prediction model of wind energy and solar energy by artificial neural network with genetic algorithm. ...
My topic of thesis is about constructing prediction model of wind energy and solar energy by artificial neural network with genetic algorithm.
Because the electricity price in Nordic area is determined in advance, it is beneficial to construct prediction model for renewable energy. With the mentioned prediction model, we can construct hybrid system (wind energy and solar energy) to produce hydrogen. Then the fuel cell can produce electricity and connect to the network by using the constructed prediction model. In our prediction model, the critical parameters like 10 minutes average wind speed and deviation for wind energy could be used as historical data to train to artificial neural network (ANN). We also hope to utilize genetic algorithm (GA) to speed up the ANN training and hybrid system scale design.
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