| Issue |
E3S Web of Conf.
Volume 562, 2024
BuildSim Nordic 2024
|
|
|---|---|---|
| Article Number | 04001 | |
| Number of page(s) | 12 | |
| Section | Demand-Side Flexibility | |
| DOI | https://doi.org/10.1051/e3sconf/202456204001 | |
| Published online | 07 August 2024 | |
Data-driven model for real-time evaluating capacity of commercial buildings to participate in the demand response
1 Tallinn University of Technology, Tallinn, 12618, Estonia
2 R8Technologies, 11415 Tallinn, Estonia
* Corresponding author: juri.belikov@taltech.ee
The collective building stock is a major energy consumer, driving political discussions and forcing building owners to seek out cost-effective technologies. This creates a business opportunity in demand response (DR) services for commercial real estate. Despite recent efforts, developing a simple, scalable model remains an open question. We develop a real-time method for estimating electricity consumption profiles and inertia, enabling a bidding strategy on the DR market without compromising indoor climate. Accurate prediction of temperature changes is achieved through efficient models validated with real data.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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