A spiking neural network (SNN) forecast engine for short-term electrical load forecasting
Implementation of SNN to STLF is proposed in this paper. Testing and validation is carried out on the load data for Victoria in Australia. The impact of weather variables on the accuracy of proposed model is discussed. The error indices obtained indicate that SNN is superior to ANN and Hybrid models.
ann hybrid model spiking neurons spike response model (srm)