Hybrid Machine Leaning Techniques for Smart Energy Forecasting and Optimization

Optimizing energy management has emerged as a critical research subject due to the growing globaldemand for energy and growing concerns about environmental sustainability. Energy managementsystems have been completely transformed by recent developments in digital technology and artificialintelligence (AI), which have improved sustainability, dependability, and efficiency. This survey offers athorough analysis of energy acquisition, management, and consumption optimization tactics with anemphasis on AI-driven methods such digital twin technology, machine learning, deep learning, and fuzzylogic. We look at how they are used in smart grids, smart homes, and property management systems,among other energy management fields. The paper outlines important approaches, evaluates their efficacy,and talks about the difficulties and restrictions that come with putting them into practice. This studyattempts to direct future research and real-world applications in sustainable energy optimization bycombining findings from other studies.