Solar-Wind Energy Assessment by Big Data Analysis

Abstract

Big data refer to the massive datasets that are collected from a variety of data sources for business needs to reveal new insights for optimized decision-making. The solar and wind energy system is the modernization of electrical energy generation systems due to the pollution free nature and the continuous advancement of photo-voltaic and wind turbine system technologies. In the solar and wind energy surroundings, the application of big data analysis based decision-making and control are mainly in the following three aspects: data stream side management, storage side management and load side management. The objective of this research is to present a technological framework for the management of large volumes, variety, and velocity of solar system related information through big data tools such as Hadoop to support the assessment of solar and wind energy system. The framework includes a modeling of system, storage, management, monitoring and forecast based on large amounts of global and diffuse solar radiation and wind energy system. This chapter also includes market basket model, the concept of solar and wind depository and application of the Map Reduce algorithm.