The Recommendation ITU-T Y.2070 specifies the requirements and architecture of the home energy management system (HEMS) and home network (HN) services. The HEMS supports energy efficiency and reduction of energy consumption by monitoring and controlling devices such as home appliances, storage batteries and sensors connected to the HN from the HEMS application. ISO/IEC 15067-3:2012 specifies a standard framework for a generic home electronic system (HES) and shows energy management agents (EMAs) in houses or the units in an apartment complex. Interacting EMAs in an apartment building, a residential community house or a small building are introduced in ISO/IEC 15067-3-3:2019. The interacting EMAs communicate with each other in an EMA Framework (EMAF) to optimise energy management among these houses and units. The interacting EMAs also integrate with an optional DR service provider (DRP), HEMSs, and heterogeneous energy systems in homes and buildings [ISO/IEC 15067-3-30]. Edge-aided energy management agents (EEMAs) provides energy management services based on artificial intelligence (AI) and machine learning technologies at intelligent edge computing [ITU-T Q.5001]. AI based services [ITU-T Q.5008] need to collect, analyze, and process energy data for its own use at EEMA Framework (EEMAF). These EEMAs communicate with each other in an EEMAF to optimise energy management among energy systems. EEMAF enables a wide range of benefits including decreased bandwidth and reduced latency by applying the intelligent data processing functions for mission critical energy management services. It can also provide faster response and greater quality of service (QoS), in comparison with cloud computing. While the function for the energy efficiency and reduction of energy consumption runs as the energy management application, the development of EEMAs is desired which provides common signalling functions to enable the application to access the devices and to support the efficient development of applications at intelligent edge computing (IEC). This is not only applying for the energy management, but also for other services such as DR and demand side management. This Recommendation defines the signalling requirements and interfaces of edge-aided energy management agent at intelligent edge computing. This Recommendation focuses on the signalling functionality of the edge-aided energy management agent (EEMA) and interfaces among EEMAs.