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Visualization & Analysis of Energy Forecasting Data Using Curve Fitting
Authors: Maninder singh, Dr. Kamal Sharma, Deepak Kumar
Number of views: 426
According to current predominant views, the field of energy will undergo significant structural changes in coming periods, making it radically different from what we know today. Thus, many researchers and organizations envision distinct paths of energy development. Managing electrical energy supply is a composite task. In this thesis, it proposes a visualization and analysis of energy forecasting by historical data presented. For this, it uses time series analysis methods like regression analysis and curve fitting mainly. In this work, it takes historical energy data which includes information related to energy at grid and produced energy. It also contains weather report, day type information and temperature. So, it provides complete day information as well as monthly information report. It also provides power estimation at a particular hour in a day. It also checks data with the help of normal distribution. It calculates analysis parameters like mean, S.D and log likelihood values. At last, these values are correlated with each other.The work is done with the help of MATLAB tool