BSI 20/30421467 DC:2020 Edition
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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)
Published By | Publication Date | Number of Pages |
BSI | 2020 | 27 |
PDF Catalog
PDF Pages | PDF Title |
---|---|
1 | 30421467-NC |
3 | JTC1-SC25_2968e_CD HORIZONTAL_STD FUNCTION_EMC FUNCTION_ENV FUNCTION_QUA FUNCTION_SAFETY |
6 | FOREWORD |
8 | INTRODUCTION |
9 | 1 Scope 2 Normative references |
10 | 3 Terms, definitions, and abbreviations 3.1 Terms and definitions |
12 | 3.2 Abbreviations 4 Conformance |
13 | 5 Narrow AI Engine for energy management 5.1 General 5.2 Narrow AI Engine for Energy Management in Smart Homes |
14 | 6 Framework of Narrow AI Engine for smart home energy management 6.1 General 6.2 Entities in Narrow AI Engine Framework 6.2.1 Narrow AI Engine |
15 | 6.2.2 Remote Metering Reading 6.2.3 Energy Management Agent 6.2.4 Local Renewable Energy 6.2.5 Premises Devices 6.2.6 Sensors 6.2.7 User Preference 6.2.8 Web-based Energy Related Services 6.3 Interfaces (i/f) for Narrow AI Engine for Energy Management 6.3.1 Interface i/f-Local |
16 | 6.3.2 Interface i/f-web 6.3.3 Interface i/f-device 6.3.4 Interface i/f-pref 6.3.5 Interface i/f-sensor 6.3.6 Interface i/f-DR 6.3.7 Interface i/f-Others 6.3.8 Interface i/f-RMR 6.3.9 Interface through HES Gateway |
17 | 7 Functional Components of the Narrow AI Engine 7.1 General 7.2 Algorithm Management Layer 7.2.1 Overview 7.2.2 Algorithm Selector |
18 | 7.2.3 Algorithm Training 7.2.4 Algorithm Testing 7.2.5 Algorithm Optimization 7.3 Decision Management Layer 7.3.1 Overview 7.3.2 Algorithm Dictionary |
19 | 7.3.3 Algorithm Store 7.3.4 Decision Handler 7.4 Data Management Layer 7.4.1 Overview 7.4.2 Data Preprocessing 7.4.3 Data Store |
20 | 7.4.4 Data Collecting 7.5 Functional flow of a Narrow AI Engine |
22 | Annex A (informative) Use cases for an AI energy management engine A.1 Supply planning and DR prediction for efficient Home management based on Narrow AI Engine |
23 | A.2 Use cases of Narrow AI Engine A.2.1 Scenario of general energy consumption |
24 | A.2.2 Scenario of energy consumption in DR management |
25 | Annex B (normative)HES Gateway Support B.1 HES Gateway related services B.2 Inside HES Gateway B.2.1 RMR Controller Service Module |
26 | B.2.2 RMR Processor Service Module B.2.3 Web-based Energy Controller Service Module B.2.4 Web-based Energy Processor Service Module B.2.5 HAN AI Rule Controller Service Module B.2.6 Authorization Service Module B.2.7 RMR Interface Module B.2.8 Web Info Interface Module B.2.9 AI HAN Interface Module B.2.10 HES-CLME |
27 | Bibliography |