Applying Artificial Intelligence to Optimize Sustainable Energy Consumption and Management

Abstract

To solve the issues raised by climate change and guarantee long-term environmental and economic stability, a shift to sustainable energy systems is essential. To accelerate the transition to green economies, this article investigates the role of artificial intelligence (AI) in improving energy usage and management. AI technology, such predictive analytics and machine learning algorithms, may be used by energy systems to increase the integration of renewable energy sources, decrease waste, and improve efficiency. This paper examines the ways artificial intelligence is currently being used in energy management, such as demand response systems, smart grids, and predictive maintenance, and shows how these applications have the potential to change how energy is consumed. Additionally, the paper looks at the obstacles to the general adoption of AI, such worries about data privacy and technical constraints, and suggests solutions. The results highlight how AI can revolutionize sustainable energy practices, highlighting the necessity of ongoing innovation and well-thought-out legislative frameworks to facilitate its application. Considering climate change, this article concludes that artificial intelligence (AI) is an essential instrument for encouraging sustainable energy consumption and stimulating economic growth.