Information technology — Home Electronic System (HES) application model — Part 3-51: Framework of a narrow AI engine for a premises energy management system using energy management agents

This document specifies a Narrow AI Engine Framework including requirements for the Energy Management Agent (EMA) specified in ISO/IEC 15067-3. This standard includes specifications for an AI infrastructure to be embedded in an EMA serving a single structure (home or building) or community housing such as an apartment complex. The Narrow AI Engine specified in this standard for EMAs enables demand response functionality to be located in each EMA instead of an external energy management system. Thus, energy management can be adapted to local and customer needs. The Narrow AI Engine includes operational principles such as prediction, decision–making, and control. This standard builds upon the EMA functions of ISO/IEC 15067-3 and ISO/IEC 15067-3-3. The AI functions specified in this standard support complex decisions about energy management for devices attached to home and buildings networks. These AI specifications enable the EMA to allocate power from public sources (including conventional and nonconventional sources) and local sources (wind, solar, and storage) according to price, availability, appliance and electric vehicle demands, customer preferences, and the customer’s budget.

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ISO/IEC 15067-3-51:2024 - Information technology — Home Electronic System (HES) application model — Part 3-51: Framework of a narrow AI engine for a premises energy management system using energy management agents Released:3. 07. 2024
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ISO/IEC 15067-3-51
Edition 1.0 2024-06
Information technology – Home Electronic System (HES) application model –
Part 3-51: Framework of a narrow AI engine for a premises energy management
system using energy management agents

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ISO/IEC 15067-3-51
Edition 1.0 2024-06
Information technology – Home Electronic System (HES) application model –

Part 3-51: Framework of a narrow AI engine for a premises energy management

system using energy management agents

ICS 35.200 ISBN 978-2-8322-9183-2

– 2 – ISO/IEC 15067-3-51:2024
© ISO/IEC 2024
1 Scope . 8
2 Normative references . 8
3 Terms, definitions, and abbreviated terms . 8
3.1 Terms and definitions . 8
3.2 Abbreviated terms . 11
4 Conformance . 11
5 Narrow AI engine for energy management . 11
5.1 General . 11
5.2 Narrow AI engine for energy management in smart homes . 12
6 Framework of narrow AI engine for smart home energy management . 13
6.1 General . 13
6.2 Entities in narrow AI engine framework . 13
6.2.1 Narrow AI engine . 13
6.2.2 Electrical energy measuring system . 13
6.2.3 Energy management agent . 13
6.2.4 Local renewable energy . 14
6.2.5 Premises devices . 14
6.2.6 User preference . 14
6.2.7 Web-based energy related services . 14
7 Narrow AI engine with EMA . 14
7.1 General . 14
7.2 Algorithm derivation . 15
7.3 Algorithm and decision management . 15
7.4 Data management . 15
7.5 Operational modes of narrow AI engine . 15
8 HES gateway support . 16
8.1 HES gateway related services . 16
8.2 Inside HES gateway . 17
8.2.1 Framework for HES gateway services . 17
8.2.2 EEMS service . 17
8.2.3 Web energy service . 18
8.2.4 AI services . 18
8.2.5 Authorization service . 18
8.2.6 PEMA services . 18
8.2.7 Web info interface module (WAN) . 18
8.2.8 HAN interface module . 18
8.2.9 HES-CLME . 18
Annex A (informative) Example internal modules of narrow AI engine for building AI
algorithm . 19
A.1 Overview. 19
A.2 Internal modules of narrow AI engine . 19
A.2.1 Block diagram of the narrow AI engine . 19
A.2.2 Algorithm selector . 20
A.2.3 Algorithm training, validating and testing . 20

© ISO/IEC 2024
A.2.4 Algorithm optimization . 21
A.2.5 Algorithm dictionary . 21
A.2.6 Algorithm store . 21
A.2.7 Decision handler . 21
A.2.8 Data pre-processing . 21
A.2.9 Data store . 22
A.2.10 Data collecting . 22
Annex B (informative) Use cases for an AI energy management engine . 23
B.1 Supply planning and DR prediction for efficient home management based on

narrow AI engine . 23
B.2 Use cases of narrow AI engine. 24
Bibliography . 25

Figure 1 – Core interoperability and HES gateway . 7
Figure 2 – HES AI applications . 7
Figure 3 – Logical framework of smart home energy management with support from
narrow AI engine in the deployed mode . 12
Figure 4 – Operating flow of narrow AI engine in deployed mode . 16
Figure 5 – Operating flow of narrow AI engine in learning mode . 16
Figure 6 – Narrow AI for PEMA application ISEE group . 17
Figure A.1 – Operating modules of the narrow AI engine in deployed mode . 19
Figure A.2 – Operating modules of the narrow AI engine in learning mode . 20
Figure B.1 – Scenario of an EMA with narrow AI engine for efficient smart houses . 23
Figure B.2 – Use case of DR management with and without narrow AI engine . 24

– 4 – ISO/IEC 15067-3-51:2024
© ISO/IEC 2024

Part 3-51: Framework of a narrow AI engine for a premises energy
management system using energy management agents

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