FORECASTING ENERGY DEMAND FOR A HOUSE USING ARTIFICIAL NEURAL NETWORK
Keywords:
Levenberg-Marquardt Algorithm, Artificial Neural Network, Training, Forecasting, Dataset, Pre-processing.Abstract
Electricity demand prediction is an essential aspect for the planning and development process of the power system industry. Further, the nature of electricity demand is highly dynamic, the accurate electricity demand forecasting becomes a complex issue. This work made an attempt for the application of Artificial Neural Network structure with Levenberg-Marquardt as the learning algorithm for predicting the electricity demand. In particular, this paper had concentrated on the hourly forecasting of electricity demand for a particular month. From the experimental results, it can be observed that the chosen Artificial Neural Network model is well suited for solving the problem and it provide significant accuracy with an acceptable error rate.
