Tom Brown
Electrical and Electronic Engineering · Energy · 2014–2022
A researcher in the Science corpus: 9 papers; trusts 38 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 96 citations into it; #2,451 of 16,539 by trust here, #4,283 by citations
- Energy Engineering and Power Technology — 42 citations into it
- Renewable Energy, Sustainability and the Environment — 42 citations into it; #3,270 of 5,212 by trust here, #3,095 by citations
- Economics and Econometrics — 24 citations into it
- Environmental Engineering — 12 citations into it
- General Energy — 10 citations into it
- Artificial Intelligence — 8 citations into it; #33,245 of 35,345 by trust here, #26,682 by citations
- Pollution — 7 citations into it
Whom Tom Brown trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Y. Scholz
- David P. Schlachtberger
- D. Connolly
- Federico E. Milano
- Timothy A. Davis
- Simeon Hagspiel
- Fernando Pérez
- Henrik Lund
- J. Kiviluoma
- U. Persson
Who trusts Tom Brown overall
- David P. Schlachtberger
- Marta Victoria
- Jonas Horsch
- Christian Breyer
- E. Zeyen
- Fabian Hofmann
- Mirko Schafer
- S. Schramm
- D. Bogdanov
- Martin Greiner
Papers from Tom Brown's perspective
Ordered by how strongly the researchers Tom Brown trusts endorse each paper. Same corpus, a different order for every researcher.
- Heat distribution and the future competitiveness of district heating
- The role of district heating in the future Danish energy system
- Energy systems modeling for twenty-first century energy challenges
- Renewable energy based electricity supply at low costs - Development of the REMix model and application for Europe
- The first step towards a 100% renewable energy-system for Ireland
- Heat Roadmap Europe: Combining district heating with heat savings to decarbonise the EU energy system
- Fluctuating renewables in a long-term climate change mitigation strategy
- SciPy: Open Source Scientific Tools for Python
- An open source power system analysis toolbox (IEEE Power Engineering Society General Meeting)
- Usefulness of DC power flow for active power flow analysis (IEEE Power Engineering Society General Meeting)
Their papers
- The benefits of cooperation in a highly renewable European electricity network (2017) — 286 citations
- Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system (2018) — 682 citations
- PyPSA: Python for Power System Analysis (2017) — 711 citations
- PyPSA-Eur: An open optimisation model of the European transmission system (2018) — 391 citations
- The role of storage technologies throughout the decarbonisation of the sector-coupled European energy system (2019) — 234 citations
- Speed of technological transformations required in Europe to achieve different climate goals (2021) — 146 citations
- Cost-Optimal Power System Extension under Flow-Based Market Coupling (2014) — 140 citations
- Cost optimal scenarios of a future highly renewable European electricity system: Exploring the influence of weather data, cost parameters and policy constraints (2018) — 149 citations
- The potential role of a hydrogen network in Europe (2022) — 242 citations