Calliope: a multi-scale energy systems modelling framework S Pfenninger, B Pickering Journal of Open Source Software 3 (29), 825, 2018 | 39 | 2018 |
District energy system optimisation under uncertain demand: Handling data-driven stochastic profiles B Pickering, R Choudhary Applied energy 236, 1138-1157, 2019 | 20 | 2019 |
Comparison of metaheuristic and linear programming models for the purpose of optimising building energy supply operation schedule B Pickering, S Ikeda, R Choudhary, R Ooka 12th REHVA World Congress 6, 2016 | 10 | 2016 |
Policy decision support for renewables deployment through spatially explicit practically optimal alternatives F Lombardi, B Pickering, E Colombo, S Pfenninger Joule 4 (10), 2185-2207, 2020 | 6 | 2020 |
Improving building energy performance in universities: the case study of the university of cambridge T Forman, R Mutschler, P Guthrie, E Soulti, B Pickering, V Byström, ... Handbook of Theory and Practice of Sustainable Development in Higher …, 2017 | 5 | 2017 |
Sub-national variability of wind power generation in complex terrain and its correlation with large-scale meteorology B Pickering, CM Grams, S Pfenninger Environmental Research Letters 15 (4), 044025, 2020 | 2 | 2020 |
Applying piecewise linear characteristic curves in district energy optimisation B Pickering, R Choudhary Proceedings of the 30th ECOS conference, San Diego, CA, 2-6 july 2017, 2017 | 2 | 2017 |
euro-calliope T Tröndle, B Pickering GitHub, 2020 | 1 | 2020 |
Quantifying resilience in energy systems with out-of-sample testing B Pickering, R Choudhary Applied Energy 285, 116465, 2021 | | 2021 |
calliope-project/calliope S Pfenninger, B Pickering, T Tröndle, F Lombardi, M Garchery, ... Zenodo, 2020 | | 2020 |
Practical Optimisation of District Energy Systems: Representation of Technology Characteristics, Demand Uncertainty, and System Robustness BC Pickering University of Cambridge, 2019 | | 2019 |
Cambridge and Bangalore district models BC Pickering, R Choudhary | | |