| 1 |
Machine learning-based energy consumption clustering and forecasting for mixed-use buildings
Culaba AB, Del Rosario AJR, Ubando AT, Chang JS
International Journal of Energy Research, 44(12), 9659, 2020 |
| 2 |
Revisiting urban energy initiatives in the UK: Declining local capacity in a shifting policy context
Rydin Y, Turcu C
Energy Policy, 129, 653, 2019 |
| 3 |
Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization
Bunning F, Wetter M, Fuchs M, Muller D
Applied Energy, 209, 502, 2018 |
| 4 |
Quantifying the impact of urban climate by extending the boundaries of urban energy system modeling
Perera ATD, Coccolo S, Scartezzini JL, Mauree D
Applied Energy, 222, 847, 2018 |
| 5 |
Modelling urban energy requirements using open source data and models
Alhamwi A, Medjroubi W, Vogt T, Agert C
Applied Energy, 231, 1100, 2018 |
| 6 |
Optimal design of decentralized energy conversion systems for smart microgrids using decomposition methods
Schutz T, Hu X, Fuchs M, Muller D
Energy, 156, 250, 2018 |
| 7 |
Holistic modelling techniques for the operational optimisation of multi-vector energy systems
Reynolds J, Ahmad MW, Rezgui Y
Energy and Buildings, 169, 397, 2018 |
| 8 |
Power-to-gas in a smart city context - Influence of network restrictions and possible solutions using on-site storage and model predictive controls
Fischer D, Kaufmann F, Selinger-Lutz O, Voglstatter C
International Journal of Hydrogen Energy, 43(20), 9483, 2018 |
| 9 |
The energy metabolism of megacities
Facchini A, Kennedy C, Stewart L, Mele R
Applied Energy, 186, 86, 2017 |
| 10 |
Spatial clustering for district heating integration in urban energy systems: Application to geothermal energy
Unternahrer J, Moret S, Joostb S, Marechal F
Applied Energy, 190, 749, 2017 |
