Abstract
The advancement of various energy systems has emerged as a pivotal solution to address the escalating energy demand. This objective can be attained through the enhancement of the performance of diverse sources under specific operational circumstances. Among the most significant applications of artificial intelligence (AI) algorithms in the field of energy management is the ability to achieve real-time energy consumption optimization by analyzing extensive datasets from diverse sources such as sensors, meters, weather predictions, etc. This not only leads to cost savings but also contributes to reducing carbon emissions, addressing a critical concern in our environmentally conscious society. This chapter provides a concise overview of global energy scenarios, technologies employed for energy conservation, diverse applications where energy optimization is essential, and the key factors required for enhancing energy efficiency. Furthermore, it explores how AI techniques are leveraged to enhance and reduce energy consumption in conjunction with these technologies. These techniques contribute to the construction of intelligent energy systems and offer significant support to numerous organizations in their development. Applying AI algorithms to the field of energy management enables real-time energy usage optimization by analyzing massive volumes of data.
