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1 Motivation
The integration of Internet of Things (IoT), digital twins and Artificial Intelligence (AI) technologies represents a transformation in the energy management landscape, transitioning from siloed approaches to holistic, collaborative strategies. By leveraging IoT, digital twins, and AI technologies, and advanced analytics, smart sustainable cities and communities can empower consumers to actively engage in managing their energy consumption, fostering a participatory model for demand-side management.
The intelligent optimization of energy costs and efficiency using innovative technologies is necessary to build and operate a sustainable energy management system. This is accomplished by integrating artificial intelligence and machine learning, digital twins, data analytics and IoT technologies.
By adopting smart, clean energy, a cleaner and healthier living environment for future generations can be created, thereby promoting global sustainable development in cities and communities in accordance with the Sustainable Development Goals (SDGs), in particular SDG7 "Affordable and clean energy", and SDG11 "Sustainable cities and communities".
Through the integration of the above-mentioned technologies, it is aimed to streamline energy distribution/transmission/orchestration operations while advancing sustainability objectives in cities and communities.
The integration of these technologies aims also to address energy supply stability in extreme environments, including pre-disaster prediction and post-disaster recovery.
The integration of these technologies unlocks significant opportunities for effective energy management practices:
- Real-time monitoring and control: IoT, digital twins and AI technologies can enable real-time monitoring and control of energy consumption, which can help optimizing energy usage, reducing costs and developing effective energy management strategies.
- Promoting sustainable digital transformation: IoT, digital twins and AI technologies can assist sustainable energy management practices.
2 Question
Study items include, but are not limited to:
- What are the study areas related to IoT solutions for effective energy management in SSC&C?
- How do we define use cases and requirements of IoT solutions for effective energy management in SSC&C?
- What are the architectural aspects of IoT solutions for effective energy management to support use cases and requirements and in SSC&C?
- What are the functions, data models, application programming interfaces (APIs), protocols, and assessment methodologies for IoT solutions for effective energy management in SSC&C?
- Which interfaces, networks, platforms and management mechanisms facilitate the efficient operations and integration of IoT solutions for effective energy management in SSC&C?
- What are the use cases and requirements of IoT solutions for effective energy management in different city environments, such as smart homes, smart buildings, grids, industries and mobilities?
- With which SDOs should collaboration be conducted to ensure the standardization and interoperability of IoT solutions for effective energy management in SSC&C?
3 Tasks
Tasks include, but are not limited to:
- Developing Recommendations, reports, supplements and guidelines as appropriate for IoT solutions for effective energy management in SSC&C, covering:
o use cases, requirements and capabilities of IoT solutions for effective energy management in SSC&C including smart homes, smart buildings, grids, industries and mobilities.
o functions and their components to support use cases and requirements.
o architectural aspects of IoT solutions for effective energy management supporting use cases and requirements in SSC&C.
o functional entities, data models, APIs, protocols, and assessment methodologies for IoT solutions for effective energy management t in SSC&C.
o interfaces, networks, platforms, and management mechanisms for the efficient operation and integration of IoT solutions for effective energy management in SSC&C.
o collaboration and harmonization with other standardization bodies, forums and consortia.
- Maintaining the Recommendations and non-normative texts under the responsibility of the Question.
- Studying other related topics as appropriate, based on contributions.
NOTE - Requirements and capabilities matter need to be coordinated with Q2/20, architectural matters need to be coordinated with Q3/20.
An up-to-date status of work under this Question is contained in the SG20 work programme (https://www.itu.int/ITU-T/workprog/wp_search.aspx?sp=18&q=10/20).
4 Relationships
Recommendations:
- Y.4000-series
- L.1300-series
Questions:
- All ITU-T SG20 Questions
Study groups:
- ITU-T SG5
- ITT-T SG13
- ITU-T SG21
Other bodies:
- ISO/IEC JTC1 SC41 & SC42
- IEC SyC SET
- OASC
WSIS action lines:
- C2, C3, C5, C6, C7, C8, C10
Sustainable Development Goals:
- 7, 9, 11, 13
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