• climify.org: an online solution for easy control and monitoring of the indoor environment 

      Cali, Davide; Kindler, Ekkart; Ebrahimy, Razgar; Bacher, Peder; Hu, Kevin; Østrup, Michelle Lind; Bachalarz, Magnus; Madsen, Henrik (Journal article; Peer reviewed, 2019)
      Real energy performance of new and retrofitted buildings often consistently differs from expectations. While occupants might complain about poor indoor climate, the energy use in such buildings is often higher than expected, ...
    • Control of Heat Pumps with CO2 Emission Intensity Forecasts 

      Leerbeck, Kenneth; Bacher, Peder; Junker, Rune Grønborg; Tveit, Anna; Corradi, Olivier; Madsen, Henrik; Ebrahimy, Razgar (Peer reviewed; Journal article, 2020)
      An optimized heat pump control for building heating was developed for minimizing CO 2 emissions from related electrical power generation. The control is using weather and CO 2 emission forecasts as inputs to a Model ...
    • Short-term forecasting of CO2 emission intensity in power grids by machine learning 

      Leerbeck, Kenneth; Bacher, Peder; Junker, Rune Grønborg; Goranović, Goran; Corradi, Olivier; Ebrahimy, Razgar; Tveit, Anna; Madsen, Henrik Tams (Peer reviewed; Journal article, 2020)
      With the aim of enabling effective flexible electricity demand, a machine learning algorithm is developed to forecast the CO2 emission intensities in European electrical power grids distinguishing between average and ...
    • Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate 

      Sartori, Igor; Walnum, Harald Taxt; Skeie, Kristian; Georges, Laurent Francis Ghislain; Knudsen, Michael D.; Bacher, Peder; Candanedo, José; Sigounis, Anna-Maria; Prakash, Anand Krishnan; Pritoni, Marco; Granderson, Jessica; Yang, Shiyu; Wan, Man Pun (Journal article; Peer reviewed, 2023)