Artificial Neural Network Based Short Term Power Demand Forecast for Smart Grid

Abstract

Globally, utilization of distributed renewable energy (RE) generators along with conventional one are remarkably increasing; to meet exponential rise in power demand, due to increased automation and industrialization. To handle challenges invoked due to increased number of distributed renewable energy generators in power network Smart Grid or smart power network is needed. Most important objective for smart power system or Smart Grid is demand supply balance to ensure stable, reliable and economical operation of power system. Short term demand forecast information is useful for real time operation and control of power system. In this paper we have discussed and presented Artificial Neural Network (ANN) based short term power demand forecast models, designed using historical hourly power demand data from Maharashtra state of India. The designed ANN based short term power demand forecast models can be deployed in renewable energy smart grid integration.