Designing electrical system using artificial neural networks for load balancing in smart-grid

Demand for electricity is increasing and difficult to control in smart-grid. The problem of load balancing is very important that affects ability of devices and their safety especially for households using three-phase electricity. Therefore, it is necessary to develop a system to support monitoring power consumption for real time. Proposal system requires devices to measure power consumption of loads and to send them to server. Server is able to store data and apply artificial neural network (ANN) for forecasting power consumption displaying on website to help users to monitor and control devices. As a result, proposal system (devices, server, and website) not only balances energy consumption but also forecasts them for long time.