Grid Power 2.0: Artificial Intelligence (AI) and Internet of Things (IoT) Optimizations in Smart Power Grids

To ensure low-cost energy supply, efficient monitoring of energy usage is crucial. Addressing the challenges of physical monitoring, we introduce a meter designed to compute and analyze total energy consumption and the optimal energy demand for each household. This meter leverages the IoT cloud platform to relay optimal energy demand and supply information to users and suppliers. Notifications are sent to users and suppliers when thresholds are crossed. Additionally, we propose integrating AI with deep learning algorithms to predict, learn, and adapt to energy usage patterns in households. These algorithms will be trained on extensive publicly available datasets,facilitating easy adaptation. Our proposed meter offers a solution for streamlined issues such as oversupply, undersupply, and user notifications. It has the potential to revolutionize the approach to low-cost and efficient energy supply and monitoring, leading to an even more efficient meter. It’s worth noting that while this meter is a promising theoretical concept, practical implementation is pending.