Analysis on Electricity Generation Forecasting System

The collection of large and complex data sets that are difficult to analyze using database management tools or customary data processing applications is called big data. Machine learning is the subfield of computer science that has the ability to learn without being an explicitly programmed. Machine learning is closely related to computational statistics, which focuses also on prediction making with the usage of computers. The existing systems have implemented various machine learning algorithms to forecast electricity generation at a rate close to the actual power generation in a specific area. It uses artificial neural network algorithms to predict the power generation in a region by collecting the population growth rate and comparing the results with the actual generation in a particular region. The processing steps will become easier when complex machine learning algorithms are replaced by simple predictive analytics models. The main objective is to discuss about various existing machine learning algorithms and processing techniques that have been proposed by several authors.