Holistic framework for household energy management services

The rapid growth of urban populations, leads to continuously increasing energy demand in the residential sector, also posing a number of significant challenges to sustainability, grid stability, and energy efficiency. As cities expand, traditional energy management approaches struggle to adapt, leading to higher costs, inefficiencies, and environmental concerns. Home Energy Management Systems (HEMS) have emerged as a solution to these challenges, enabling real-time monitoring, demand-side management, remote device control, and integration with Renewable Energy Sources (RES). Nevertheless, the device and protocol as well as demanding resource and security considerations hurdles HEMS adoption. To this end, this paper proposes a novel framework, based on a HEMS platform, allowing to collect and analyze real-time energy consumption data from smart meters, wireless sensors and cloud-based solutions for storage and further processing. The framework proof-of-concept deployment is also provided, aiming to demonstrate the platform’s effectiveness in enhancing energy awareness, identifying consumption anomalies, and generating advanced insights that drive actionable energy optimization strategies. HEMS services within the platform scope also include Artificial Intelligence (AI)-driven analytics, demand-response scenarios, and smart grid integration mechanisms.