Forecasting the future energy demand accurately is a critical issue, especially for countries
like Turkey where the energy dependency ratio is high. This paper presents a neural
network based on the particle swarm optimization algorithm with mutation (PSOM-NN) to
enhance the prediction accuracy of the energy demand of Turkey. Unlike some studies in
the field which are using all the observed data for training purpose, the proposed network
used only a part of these data for training. Approximately 63% and 37% of the mentioned …