This review examines the impact of data analytics powered by the Internet of Things (IoT), edge computing, and artificial intelligence (AI) on improving energy efficiency in smart environments, with a focus on smart factories, smart cities, and smart territories. AI is the science of making machines capable of learning to perform tasks that traditionally required human intelligence. As artificial intelligence boosts global electricity demand from data centres and increasingly transforms how the energy sector works, the IEA has launched a new Energy and AI Observatory to closely monitor and analyse the interconnections between the energy sector and this fast-evolving. The Energy Internet represents a transformative paradigm integrating advanced power systems, distributed renewable energy, and digital technologies to achieve efficient, resilient, and sustainable energy management. Systems of the Fraunhofer Energy Alliance predict energy demands via model-based methods depending on season, weekday, time and other relevant parameters like meteorological.
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