Analysis of Artificial Intelligence based Forecasting Techniques for Renewable Wind Power Generation

Abstract

Wind is considered as the renewable energy resource which consists of high state of efficiency with low pollution. The accurate level of forecasting can reduce the minimal range of losses and risk in the unrealizable factor. High energy of wind powers are defined where it comprises with the challenges in the power systems and other variability in generating the power. One of the key factors of the electricity supply is wind forecasting. It implies with the several improvements where many literatures have initially developed new technologies to forecast the wind power. A different range of forecast are been developed and are been categorized according to the expected production. These are indicated using the power productivity potential over the state of time interval. In this research paper, an overview of the different technologies used in the wind power forecasting are been discussed. This paper mainly focuses upon the research work of different literature review and their principles with the practical development. Based upon the categories, the futuristic development of each wind forecasting are been directed accordingly.