Role of Artificial Intelligence in Energy and Power Engineering

Abstract

Over the last decade, the energy issue has been a major source of concern in many countries, and the usage of renewable energy has risen in importance internationally. Wind speed prediction is required to enhance the quantity of energy generated. The wind speed forecast balances the energy required and the energy generated. Voltage stability has recently received a lot of attention from academics due to the fact that it has become a key concern for modern power system operators. Several countries have experienced widespread blackouts as a result of voltage instability issues. Accurate forecasting of power demand and price is considered as one of the most significant research topics in electrical engineering in the present and future, with academics placing a strong focus on demand and price prediction in deregulated markets. The predictive nature of various machine learning algorithms makes them most suitable tool to deal with problems related to energy and power engineering. Machine learning techniques are capable of analyzing past data and on the basis of that analysis, these algorithms are capable of predicting future results. This article provides applications of machine learning in energy and power engineering.