An Intelligent and Scalable IoT-Based Architecture for Residential Energy Consumption Forecasting Using Deep Learning
A smart, scalable architecture that integrates Internet of Things (IoT) technologies and Deep Learning models to improve the accuracy and adaptability of energy consumption forecasting in residential environments and demonstrates remarkable accuracy, achieving a Mean Absolute Error below 5% under diverse conditions.