• S.Jayashree

Energy strategy is extremely important for developing countries. As the economy of the countries grow rapidly, their energy consumption increase substantially. Data about electricity consumption were analysed by using the sector LT domestic data. Policy makers should give critical decisions and develop new strategies for meeting this growing energy demand. Apparently, accurate predictions of the future energy consumption are vital for developing such strategies. The analysis of power consumption is neutral within practically nine months in order to find out some significant information that allows us to predict the future demand with the certain degree of accuracy. In this study, we have used the computation methods to forecast the electricity consumption. The forecast results are compared with real consumption values to measure the performance of the methods.

Artificial neural networks, Electricity consumption, Forecasting, Regression.

"Forecasting Electricity Consumption with Neural Networks and Regression", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.223-230, May - 2019, Available :http://www.jetir.org/papers/JETIRCN06038.pdf

"Forecasting Electricity Consumption with Neural Networks and Regression", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp223-230, May - 2019, Available at : http://www.jetir.org/papers/JETIRCN06038.pdf