Artificial Intelligence Enabled Demand Response: Prospects and Challenges in Smart Grid Environment

Demand Response (DR) has gained popularity in recent years as a practical strategy to increase the sustainability of energy systems while reducing associated costs. Despite this, Artificial Intelligence (AI) and Machine Learning (ML), have recently developed critical technologies for demand-side management response due high complexity tasks with DR, well huge amount data take decisions very near real time implications. Selecting best group users respond, learning their attitude toward consumptions priorities, price optimization, monitoring control devices, engage more consumers DR schemes, how remunerate them fairly economically are all problems that can be tackled help AI techniques. This study presents an overview approaches used applications. Both algorithm(s) employed discussing commercial efforts (from both new existing businesses) large-scale innovation projects applied DR. Different kind programs implemented different countries also discussed. Moreover, it discusses application blockchain schemes smart grid paradigm. Discussion strengths weaknesses evaluated methods various tasks, suggestions further study, round out work.