• Omkar V. Narhe
• Kshitij S. Joglekar
• Rohit S. Kolage
• Maya P. Shelke

Due to the tremendous increase of the developing countries, the electricity supply and demand faces intense scarcity, and that has major impact on the wealth of the country and the everyday life of the residents in that country. Electricity supply has become a barrier in continuous development of nation. In this paper, we put forward a model for predicting the electricity consumption and and perspective for forecasting the consumption of electricity at the small level of house. The effect of inhabitants everyday activities and utilization of the appliances consumption of electricity and it’s data is collected to improve the accuracy of the short-term forecasting model. The contribution of this project is we addressed short-term electricity forecasting for 1 week ahead on the personalized household level. We have developed and evaluate an autoregression model for multi-step forecasting household power Consumption.

STF, Forecasting, Regresiion Models

"Short Term Forecasting Of Household Power Consumption By Using Time Series Regression Models", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.80-85, May-2019, Available :http://www.jetir.org/papers/JETIRBO06012.pdf

"Short Term Forecasting Of Household Power Consumption By Using Time Series Regression Models", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp80-85, May-2019, Available at : http://www.jetir.org/papers/JETIRBO06012.pdf