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Viser treff 1-6 av 6

2022
1 Severinsen, Alexander; Myrland, Øystein.
ShinyRBase: Near real-time energy saving models using reactive programming. Applied Energy 2022 ;Volum 325. s. -
NMBU UiT Untitled
 
2 Severinsen, Alexander; Myrland, Øystein.
Statistical learning to estimate energy savings from retrofitting in the Norwegian food retail market. Renewable and Sustainable Energy Reviews 2022 ;Volum 167.
UiT NMBU Untitled
 
2019
3 Fagerström, Jonathan; Espegren, Kari Aamodt; Selj, Josefine Helene Krogh; Severinsen, alexander.
Forecasting and technoeconomic optimization of PV-battery systems for commercial buildings. Eceee ... summer study proceedings 2019 ;Volum 2019-. s. 949-954
IFE NMBU Untitled
 
4 Fagerstrøm, Jonathan; Espegren, Kari Aamodt; Selj, Josefine Helene Krogh; Severinsen, alexander.
Forecasting and technoeconomic optimization of PV-battery systems for commercial buildings. I: eceee 2019 Summer Study on energy efficiency: Is efficienct sufficient?. European Council for an Energy Efficient Economy (ECEEE) 2019 ISBN 978-91-983878-5-8. s. 949-954
IFE NMBU Untitled
 
2017
5 Lind, Arne; Selj, Josefine Helene Krogh; Tsanakas, Ioannis; Arnestad, Petter; Severinsen, Alexander.
Shaving the peaks through statistical learning: smart use of solar energy and storage solutions. Eceee ... summer study proceedings 2017 ;Volum 2. s. 1177-1184
IFE Untitled
 
6 Severinsen, Alexander; Holst, Helen Marita Sørensen.
Using machine learning and mathematical programming to benchmark energy efficiency of buildings. Eceee ... summer study proceedings 2017 ;Volum 2. s. 1083-1089
UiT Untitled