Edge AI and Blockchain Integration

Abstract

In this paper, the impact of AI in energy analysis and management are elaborated along with providing an intelligent approach to make better the functionality of AI at renewables keeping along with edge intelligence integrated to blockchain for smart implementation as required. Moreover, the research gives an elaborated study on blockchain technology and edge intelligence areas along with advanced smart fields. The research further outlines on several AI techniques, such as machine learning and federated learning. This study utilizes a specialist literature review, examining recently published scientific publications and peer-reviewed literature from the last couple of years. Abstract The key results show significant progress in AI techniques for predicting and assessing RES to improve their performance. AI has proven to be very effective in accurately predicting the trends of energy consumption, allowing them to improve energy management strategies. This paper provides guidance to academia and practitioners on deploying AI for more sustainable and efficient energy-related analytics.