Wind Energy Prediction: Artificial Intelligence Perspective

The recent advancements in renewable energy (RE) have highlighted the significance of an efficient utilization of wind energy (WE). Accurate predictions of wind speed (WS) and wind power (WP) play a vital role in ensuring energy balance and making informed decisions for power generation. These precise predictions are considered essential for realizing the full potential of WE and maximizing its utilization in the energy sector. The field of WE forecasting has seen a surge in the development of various forecasting models in recent years. Out of all these models, Artificial Intelligent (AI) models have emerged as the most precise and trustworthy. The exceptional accuracy and stability of these models have made them indispensable in WE forecasting. Their remarkable potential has been demonstrated through numerous studies and experiments, solidifying their position as the go-to choice for predicting wind energy. These AI models have set a high standard in the field and are continuously being refined and improved to provide even more accurate predictions. The aim of this paper is to present a comprehensive overview of the utilization of Artificial Intelligence (AI) tools and techniques for WE prediction. The review takes into account several crucial aspects such as wind energy production, maintenance cost, managing days with low wind, and others. It encompasses various AI-based approaches utilized for WE prediction and evaluates various parameters and attributes. The review also sheds light on the pros and cons of AI approaches and their limitations. Based on the analysis, the paper provides future recommendations for researchers in the field to help them comprehend the practicality of AI approaches for WE prediction.