Analysis of Long Term Load Forecasting using Ann Technology

Amruth R T; Harsha M; Jagadeesha M Y; Nachiketha V Shastry; Nanjaraje Urs M B

Volume : IV, Issue : VI, June - 2014

Analysis of Long Term Load Forecasting using Ann Technology

Amruth R T, Harsha M, Jagadeesha M Y, Nachiketha V Shastry, Nanjaraje Urs M B

Abstract :

Generation of power and load forecasting plays a vital role in the demand side management. The dissertation presents a new approach for long term electrical load forecasting using an artificial neural network for power systems. Throughout the world , electrification is an ongoing process. The reason for this phenomenon is the preference for the electrical energy. Increasing demand is due to several factors as population growth, growth of per–capita income , migration to cities and increasing energy using products.In recent years, load forecasting has become one of the major areas of research in electrical engineering and is an important problem in the operation and planning of electrical power generation. Most traditional forecasting models, artificial intelligence, regression analysis ,genetic algorithm tool technique and neural network techniques have been tried out this task. Artificial neural network (ANN) has lately received much attention, and a great number of people have repeated successful experiments and practical tests .The proposed work concentrates on analysis of long term datas of power generation , MATLAB ANN tool and ANN algorithm has been developed to predict the variation of the load forecasting for the further long term of more than 10–20 years