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Lucas Kruitwagen
Lucas Kruitwagen
Verified email at smithschool.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
A global inventory of photovoltaic solar energy generating units
L Kruitwagen, KT Story, J Friedrich, L Byers, S Skillman, C Hepburn
Nature 598 (7882), 604-610, 2021
1742021
Stranded Assets and Thermal Coal: An analysis of environment-related risk exposure
B Caldecott, L Kruitwagen, G Dericks, DJ Tulloch, I Kok, J Mitchell
Stranded Assets Programme, SSEE, University of Oxford, 2016
712016
Game theory and corporate governance: conditions for effective stewardship of companies exposed to climate change risks
L Kruitwagen, K Madani, B Caldecott, MHW Workman
Journal of Sustainable Finance & Investment 7 (1), 14-36, 2017
292017
A new perspective on decarbonising the global energy system
M Ives, L Righetti, J Schiele, K De Meyer, L Hubble-Rose, F Teng, ...
Oxford University Smith School of Enterprise and the Environment, 2021
242021
Stranded Assets and Thermal Coal in China: An analysis of environment-related risk exposure
B Caldecott, G Dericks, DJ Tulloch, X Liao, L Kruitwagen, G Bouveret, ...
University of Oxford’s Smith School Stranded Assets Programme, 2017
212017
Managing the political economy frictions of closing coal in China
B Caldecott, G Bouveret, G Dericks, L Kruitwagen, D Tulloch, X Liao
Sustainable Finance Programme–Discussion Paper, Smith School of Enterprise …, 2017
182017
The fate of European coal-fired power stations planned in the mid-2000s: Insights for policymakers, companies, and investors considering new coal
B Caldecott, D Tulloch, G Bouveret, A Pfeiffer, L Kruitwagen, J McDaniels, ...
Smith School of Enterprise and the Environment, 2017
162017
Asset-level data and the energy transition: findings from ET Risk Work Package 2
B Caldecott, G Dericks, G Bouveret, K Schumacher, A Pfeiffer, DJ Tulloch, ...
University of Oxford, Sustainable Finance Programme< http://www. smithschool …, 2018
112018
Climate risk analysis from space: remote sensing, machine learning, and the future of measuring climate-related risk
B Caldecott, L Kruitwagen, M McCarten, X Zhou, D Lunsford, O Marchand, ...
102018
Crude awakening: Making oil major business models climate-compatible
B Caldecott, I Holmes, L Kruitwagen, D Orozco, S Tomlinson, B Mitchell, ...
E3G., 2018
82018
Summary of Proceedings: Environment-Related Risks and the Future of Prudential Regulation and Financial Conduct–4th Stranded Assets Forum, Waddesdon Manor, 23rd October 2015
L Kruitwagen, D MacDonald-Korth, B Caldecott
Smith School of Enterprise and the Environment, University of Oxford, 2016
62016
Revealing robust oil and gas company macro-strategies using deep multi-agent reinforcement learning
D Radovic, L Kruitwagen, CS de Witt, B Caldecott, S Tomlinson, ...
arXiv preprint arXiv:2211.11043, 2022
52022
Coal-fired Power Stations
L Kruitwagen, S Collins, B Caldecott
52017
The fate of European coal-fired power stations planned in the mid-2000s
B Caldecott, DJ Tulloch, G Bouveret, A Pfeiffer, L Kruitwagen, J McDaniels, ...
Sustain. Financ. Program, 86, 2017
52017
How Asset level data can improve the assessment of environmental risk in credit analysis
B Caldecott, L Kruitwagen
S&P Global Ratings, 2016
52016
A techno-economic and financial analysis of a Gulf-India undersea electricity interconnector
A Shivakumar, L Kruitwagen, M Weinstein, S Spiteri, C Arderne, Y Almulla, ...
32021
Towards DeepSentinel: An extensible corpus of labelled Sentinel-1 and-2 imagery and a general-purpose sensor-fusion semantic embedding model
L Kruitwagen
arXiv preprint arXiv:2102.06260, 2021
32021
Carbon Capture and Storage in the thermal coal value chain
B Caldecott, L Kruitwagen, I Kok
Oxford Energy Forum 105, 2016
32016
Guest opinion: how asset-level data can improve the assessment of environmental risk in credit analysis
B Caldecott, L Kruitwagen
S&P Global Market Intelligence, New York, 20261003-21, 2016
32016
Revealing the Oil Majors’ Adaptive Capacity to the Energy Transition with Deep Multi-Agent Reinforcement Learning
D Radovic, L Kruitwagen, CS de Witt
Climate Change AI Workshop@ NeurIPS 2020, 9, 2020
22020
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