BS EN ISO/IEC 15067-3-51 - Information technology. Home Electronic System (HES) application model. Part 51. Framework of a Protected On-Premises Narrow AI Engine for an Energy Management System using Energy Management Agents (EMAs)

This standard specifies a framework for adding artificial intelligence (AI) functions to support the energy management agent (EMA) specified in ISO/IEC for EMAs located on customer premises. The term “premises EMA” (PEMA) is introduced to clarify that this standard focuses on the needs of the premises versus the needs of a public utility. The AI functions that may be incorporated into a Narrow AI Engine that is specialised for energy management are described. A Narrow AI Engine is intended to be implemented locally in a home or building rather than an external energy management system with processing in the cloud. 
The standard includes specifications for implementing these PEMA AI functions in the HES Gateway, specified in the ISO/IEC and ISO/IEC series. The benefits of using the HES Gateway for the PEMA AI functions are explained in this standard. Data about customer preferences for energy sources and the times when various appliances or electric vehicle (EV) chargers are used are processed locally by the AI engine. Therefore, customer’s private data are protected by the on-premises HES gateway. This standard describes the core framework including the HES gateway modules needed for a Narrow AI Engine. The AI functions described in this standard support complex decisions about energy management for devices attached to home and building networks. These AI specifications enable the PEMA to allocate power from public sources (such as utilities, aggregators, and microgrid operators), private sources (such as prosumers using transactive energy) and local sources (wind, solar, and storage) according to price, availability, appliance and EV demands, customer preferences, and the customer’s budget. 

© British Standards Institution 2022

The information about this standard has been compiled by the AI Standards Hub, an initiative dedicated to knowledge sharing, capacity building, research, and international collaboration in the field of AI standards. You can find more information and interactive community features related to this standard by visiting the Hub’s AI standards database here. To access the standard directly, please visit the developing organisation’s website.