DOAJ Open Access 2024

Data-driven model for real-time evaluating capacity of commercial buildings to participate in the demand response

Belikov Juri Matskevich Aliaksei Kose Ahmet Petlenkov Eduard

Lihat Sumber DOI

Abstrak

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.

Topik & Kata Kunci

Environmental sciences

Penulis (4)

Belikov Juri

Matskevich Aliaksei

Kose Ahmet

Petlenkov Eduard

Format Sitasi

APA MLA BibTeX

Juri, B., Aliaksei, M., Ahmet, K., Eduard, P. (2024). Data-driven model for real-time evaluating capacity of commercial buildings to participate in the demand response. https://doi.org/10.1051/e3sconf/202456204001

Akses Cepat

Lihat di Sumber doi.org/10.1051/e3sconf/202456204001

Informasi Jurnal

Tahun Terbit: 2024
Sumber Database: DOAJ
DOI: 10.1051/e3sconf/202456204001
Akses: Open Access ✓