Practical challenges towards data-driven applications in buildings: lessons-learned from two real-life case studies
Author:
Affiliation:
1. SINTEF Community,Trondheim,Norway
2. Kiona AS,Trondheim,Norway
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10192574/10192583/10193188.pdf?arnumber=10193188
Reference10 articles.
1. Energy performance optimization in buildings: A review on semantic interoperability, fault detection, and predictive control
2. Data requirements and performance evaluation of model predictive control in buildings: A modeling perspective
3. A review of data-driven building performance analysis and design on big on-site building performance data
4. From model-centric to data-centric
5. Advanced data analytics for enhancing building performances: From data-driven to big data-driven approaches
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1. Towards Automated Energy Flexibility Deployment in Buildings: A Solution at the ZEB Laboratory;2024 9th International Conference on Smart and Sustainable Technologies (SpliTech);2024-06-25
2. Insights from the Field: Implementing Schedule-Based Control Strategies for Load Shifting in Educational Buildings;2024 9th International Conference on Smart and Sustainable Technologies (SpliTech);2024-06-25
3. An Industrial and Public Power Grids Malfunction Detection Towards Data Driven;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29
4. IoT devices deployment challenges and studies in building management system;Frontiers in the Internet of Things;2023-12-04
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