Power generation from renewable resources is now-a-days recognized as an necessary basic skill to improve the operation of power system. Forecasting of the renewable energy is the important factor. This study on renewable energy forecasting Techniques gives the more knowledge about how the renewable energy is forecasted and how the renewable energy is converted to the electrical power. And it tells various techniques and methods for the forecasting of renewable energy resources. India is geographically diversified due to its different climatic conditions and we have collected data from solar energy sources from 6 different locations. It comprises the data collected over a period of around one year solar plant output, solar irradiations and temperature of the PV plant. The datasets are considered for training to supervised learning algorithms with linear and logistic regressions by considering short term forecasting and predict immediate next day by using last 28 days data.