International Journal of Precision Engineering and Manufacturing-Green Technology, Journal Year: 2023, Volume and Issue: 11(3), P. 963 - 993

Published: Sept. 23, 2023

Abstract This comprehensive review paper aims to provide an in-depth analysis of the most recent developments in applications artificial intelligence (AI) techniques, with emphasis on their critical role demand side power distribution systems. offers a meticulous examination various AI models and pragmatic guide aid selecting suitable techniques for three areas: load forecasting, anomaly detection, response real-world applications. In realm presents thorough choosing fitting machine learning deep models, inclusive reinforcement learning, conjunction application hybrid optimization strategies. selection process is informed by properties data specific scenarios that necessitate forecasting. Concerning this provides overview merits limitations disparate methods, fostering discussion strategies can be harnessed navigate issue imbalanced data, prevalent concern system detection. As response, we delve into utilization examining both incentive-based price-based schemes. We take account control targets, input sources, pertain use effectiveness. conclusion, structured offer useful insights design focusing demand-side future energy It guidance directions development sustainable systems, aiming serve as cornerstone ongoing research within swiftly evolving field.

Language: Английский