ISO/IEC 15067-3-51:2024

ISO/IEC 15067-3-51
Edition 1.0 2024-06
INTERNATIONAL
STANDARD
colour
inside
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
INTERNATIONAL
STANDARD
colour
inside
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

INTERNATIONAL
ELECTROTECHNICAL
COMMISSION
ICS 35.200 ISBN 978-2-8322-9183-2

– 2 – ISO/IEC 15067-3-51:2024
© ISO/IEC 2024
CONTENTS
FOREWORD . 4
INTRODUCTION . 6
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
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

FOREWORD
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