Reviewing Applications and Challenges of Artificial Intelligence in Renewable Energy Production
Anjum Qureshi *
Rajiv Gandhi College of Engineering, Research & Technology, Chandrapur, India.
*Author to whom correspondence should be addressed.
Abstract
This review will discuss applications of using AI for renewable energy sources, its impact on the environment, and how it will help to solve the challenges faced by the energy sector. Artificial Intelligence is increasingly being used with renewable energy sources. Global warming and climate change have forced researchers to think of methods to minimize the usage of fossil fuels and encourage renewable energy. Renewable energy is used to fulfill the increasing energy demands globally.In the context of the global active pursuit of sustainable development and the heightened priority placed on sustainable energy, renewable energy systems, as a crucial solution to energy crises and environmental challenges, are of increasing significance. The extensive development and utilization of renewable energy sources such as wind and solar have become the core driving force for promoting the transformation of the energy structure. Balancing the demand-supply gap, excessive production, and wasteful overconsumption should be avoided to facilitate efficient utilization of these resources. Identifying the trends and patterns of energy consumption, optimization and maintenance of the industrial equipment is beyond human calculations. AI can be used with renewable energy sources like solar and wind to reshape the renewable energy landscape. It helps forecast the demand for energy by analyzing energy usage and adjusting production accordingly. Moreover, it can optimize grid operations, by predicting and managing the irregularities in renewable energy production to allow smart grid management. Irregularities in maintenance may sometimes lead to complete failure of the system. AI can be used for predictive maintenance by collecting data from the equipment to predict the need for maintenance and repairs. The renewable energy sector is reinventing itself and embracing research and innovation for performance improvement. It can adopt the innovations of AI to achieve cost savings, become energy-efficient, and ensure better investment returns.
Keywords: AI, renewable energy, predictive maintenance, energy optimization, smart grid