Abstract
This keynote lecture highlights the applications of artificial intelligence for forecasting the energy consumption in public buildings. The real-world case studies have been fully demonstrated to showcase the light-weight AI that can be embedded in the digital twins. The energy forecasts can enable effective and efficient energy grid usage that embrace multiple renewable sources of energy. This will pave the feasible, scalable pathway for 100% energy independence of not only a building cluster, but also at the city scale.
| Original language | English |
|---|---|
| Publication status | Published - 10 Feb 2026 |
| Event | The 1st International Online Conference on Designs: Designs 2026 - Online Duration: 9 Feb 2026 → 10 Feb 2026 https://sciforum.net/event/Designs2026 |
Conference
| Conference | The 1st International Online Conference on Designs |
|---|---|
| Period | 9/02/26 → 10/02/26 |
| Internet address |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 12 Responsible Consumption and Production -
SDG 13 Climate Action
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