Personal information
Name: Trine Krogh Boomsma (maiden name Kristoffersen)
Affiliation: Department of Mathematical Sciences,
University of Copenhagen
Address: Universitetsparken 5, 2100 Koebenhavn Oe,
Denmark
Email: trine@math.ku.dk
Reseach interests
Stochastic programming; two-stage and multi-stage models;
scenario generation and reduction; real options analysis;
dynamic programming; energy applications; conventional and
renewable power generation; electricity markets; support
schemes; operations scheduling; market exchange; investment
valuation.
Employment and experience
abroad
Jan 2012 - : Associate
professor, Department of Mathematical Sciences, University of
Copenhagen.
Jul 2010 - Dec 2012: Senior scientist, Risoe National
Laboratory of Sustainable Energy, Technical University of
Denmark.
Jul 2009 - Jun 2010: Visiting post doc, Centre for Quantitative
Finance, Business School, Imperial College, London.
Jun 2009 - Jun 2010: Scientist, Risoe DTU.
Jul 2007 - May 2009: Post doc, Risoe DTU.
Jun 2007: Research assistant, Risoe DTU.
Feb 2003 - Apr 2007: PhD, Mathematics-Economics, Aarhus
University.
Jan 2004 - Apr 2004: Visiting PhD, Discrete Mathematics and
Optimization, Faculty of Mathematics, University of
Duisburg-Essen, Duisburg.
Peer reviewed
publications
27. S. Lee, T. K.
Boomsma. Approximate dynamic programming for
plug-in hybrid electric vehicle operation,
accepted in Applied Energy, 2022.
26. K. A.
Andersen, T. K. Boomsma, L.
Relund. MILP sensitivity analysis
for the objective function
coefficients, accepted in INFORMS
Journal of Optimization, 2022.
25.
T. K.
Boomsma, S. Pineda, D. M.
Heide-Joergensen. The spot- and
balancing markets for electricity:
Open- and closed-loop equilibrium
models, Computational Management
Science 19(2), 2022, 159-197.
24. H. C. Bylling, S. A. Gabriel, T. K. Boomsma. A
parametric programming approach to bi-level
optimization with lower-level variables in the upper
level. Journal
of the Operational Research Society 71(5), 2020, 846-865.
23. H. C. Bylling, S. Pineda, T. K. Boomsma. The
impact of short-term variability and uncertainty on
long-term power planning problems. Annals of
Operations Research 284, 2020, 199-223.
22. G. Pantuso, T. K.
Boomsma. On the number of stages in multistage stochastic
programs. Annals of Operations
Research, 2019, 1-23.
21. H. Broendbo, A. Storeboe,
T. K. Boomsma, C. Skar, S.-E. Fleten. A real options
approach to generation capacity expansion in
imperfectly competitive electricity markets. Energy
Systems, 2019, 1-36.
20. S. Pineda, T. K. Boomsma, S. Wogrin, Renewable
generation expansion under different support schemes: A
stochastic equilibrium approach. European Journal of
Operational Researc 288(3), 2018, 1086-1099.
19. R. Ernstsen, T. K. Boomsma, Valuation of power plants.
European
Journal of Operational Research 266(3), 2018,
1153-1174.
18. R. Ernstsen, T. K. Boomsma, M.
Jonnson, A. Skejaa, Hedging volume risk using
forward markets for energy. Energy Economics 68,
2017, 490-514.
17. L. Kitzig, N. Juul, M. S. L. Drud, T. K.
Boomsma. A real options approach to analyze
wind power investments under different support
schemes. Applied Energy 188, 2017, 83-96.
16. J. A. Petersen, D. M. Heide-J oergensen, N.
Detlefsen and T. K. Boomsma. Short-term balancing of supply and
demand in an electricity system: Forecasting and scheduling.
Annals of Operations Research 238(1), 2016, 449-473.
15. S. Pineda, J. M. Morales and T. K.
Boomsma, Impact of forecast errors on expansion planning of
power systems with a renewable target. European Journal of
Operational Research 248(3), 1113-1122, 2016.
14. E. N. Alsnaes, R. Groendahl, S.-E. Fleten and T. K.
Boomsma, Insights of actual day-ahead bidding of hydro-power.
International Journal of Sustainable Energy Planning and
Management 7, 2015.
13. T. K. Boomsma, K. Linnerud. Market and policy
risk under different renewable electricity support schemes.
Energy 89, 435-448, 2015.
12. N. Juul, G. Pantuso, J. E. B. Iversen and T. K. Boomsma,
Strategies for charging electric vehicles in an electricity
market. International Journal of Sustainable Energy Planning and
Management 7, 2015.
11. L. Maurovich-Horvat, A. Siddiqui and
T. K. Boomsma,
Transmission and wind investment in a deregulated electricity
industry. IEEE Transactions on Power Systems 30(3), 1633-1643,
2014.
10. T. K. Boomsma, N. Juul and S.-E.
Fleten, Bidding in sequential electricity markets: The Nordic
case. European Journal of Operational Research 238(3), 797-809, 2014.
9. F. M. Andersen, H. V. Larsen and T. K. Boomsma.
Forecasting hourly electricity load: Identification of
consumption profiles and segmentation of customers. Energy
Conversion and Management 68, 244-252, 2013.
8. T. K. Boomsma and S.-E. Fleten.
Discussion on 'Profit maximization of a power plant'. European
Journal of Control 18(1), 55-57, 2012.
7. T. K. Boomsma, N. Meade and S.-E.
Fleten. Renewable energy investments under different support
schemes: A real options approach. European
Journal of Operational Research 220(1),
225-237, 2012 (2015 EURO Award for the
Best EJOR Paper - Innovative Application).
6. T. K. Kristoffersen, K. Capion and Peter
Meibom. Optimal charging of electric drive vehicles in a market
environment. Applied Energy 88(5), 1940-1948, 2011.
5. T. K. Kristoffersen and S.-E. Fleten. Stochastic programming models for short-term power
generation and bidding, M. Bjoerndal and M. Ronnqvist (eds.),
in: Energy, Natural Resource and Environmental Economics,
187-200, 2010.
4. K. Vogstad and T. K. Kristoffersen. Investment
decisions under uncertainty using stochastic dynamic
programming: A case study of wind power, in: A. Iliadis and S.
Rebennack, M. Pardalos (eds.), Handbook of Power Systems,
131-142, 2010.
3. S.-E. Fleten and T. K. Kristoffersen.
Short-term hydro-power production planning by stochastic
programming. Computers & Operations Research 35(8),
2656-2671, 2008.
2. S.-E. Fleten and T. K. Kristoffersen.
Stochastic programming for optimizing bidding strategies of a
Nordic hydro-power producer. European
Journal of Operational Research 181(2),
916-928, 2006.
1. T. K. Kristoffersen. Deviation measures in linear
two-stage stochastic programming. Mathematical methods of
Operations Research 62(2), 255-274, 2005.
Submitted papers, technical reports and
mischellaneous
F. Pourahmadi,
T. K. Boomsma. Approximate
dynamic programming for
profit estimation of
connected hydro
reservoirs, submitted,
2022.
K. A. Andersen, T. K.
Boomsma, B. Schultze.
Sensitivity analysis in
multi-objective
mixed-integer linear
programming: The objective
function coefficients,
submitted, 2021.
L. Reichenberg, T. Ekholm, T. K.
Boomsma. Revenue and risk of variable
renewable electricity investment: The
cannibalization effect under high market
penetration, submitted, 2021.
T. K. Boomsma. Comments on: A comparative
study of time aggregation techniques in
relation to power capacity expansion modeling.
Invited comment, TOP 27(3), 2019, 406-409.
H. C. Bylling, S. A. Gabriel, T. K. Boomsma. A
parametric programming approach to bi-level
merchant electricity transmission investment,
M. R. Hesamsadeh, J. Rosellon, I. Vogelsang
(eds.), in: Transmission Network Investment in
Liberalized Power Markets, 2020.
K. A. Andersen, T. K. Boomsma, L. R. Nielsen. A
multi-objective approach to sensitivity analysis in
mixed-integer programming. Submitted, 2019.
D. M. Heide-Joergensen, P. Pinson, T. K. Boomsma, A dynamic
programming approach to the ramp-constrained intra-hour unit
commitment problem. Working paper, 2016.
H. Broendbo, A.
Storeboe, S.-E. Fleten, T. K. Boomsma.
Electricity capaa Cournot duopoly. 14th
conference of the European Energy Market (EEM17), Dresden, 2017.
L. Maurovich-Horvat, T. K. Boomsma, S.-E. Fleten
and A. Siddiqui, Transmission and wind investment in a
deregulated electricity industry. 10th conference of the
European Energy Market (EEM13), Stockholm, 2013.
E. N.
Alsnaes, R. Groendahl, , S.-E. Fleten
and T. K. Boomsma, The degree of rationality in actual
bidding of hydro-power at Nord Pool. 10th
conference of the European Energy Market (EEM13), Stockholm,
2013.
S. Delikaraoglou, T. K. Boomsma and N. Juul. Optimal charging of
electric drive vehicles: A dynamic programming approach. Q. Wu
(ed.), in: Grid integration of electric vehicles in open
electricity markets, 2013.
N. Juul and T. K. Boomsma. Investment and operation in an
integrated power and transport system. Q. Wu (ed.),
in: Grid integration of electric vehicles in open
electricity markets, 2013.
T. K. Kristoffersen and P. Meibom. Mathematical programming
models for energy system analysis: An introduction. Teaching
material. Modelling and Analysis of Sustainable Energy Systems.
Technical University of Denmark, 2010.
T.K.
Kristoffersen, P. Meibom, and A. Goettig. Estimating tertiary
reserves in the Danish electricity system. 8th International
Workshop on Large-Scale Integration of Wind Power into the Power
Systems as well as on Transmission Networks for Offshore Wind
Farms, Bremen, 2009.
T. K.
Kristoffersen, H. Larsen, P. Meibom, A. Goettig, J. Apfelbeck,
R. Barth, and H. Brand. WP7 Case analysis of operational
management of grids. SUPWIND project. Technical report,
Technical University of Denmark, 2009.
Available
at http://supwind.risoe.dk/Results.htm.
A.
Gubina, A. Keane, P. Meibom, T. Kristoffersen, and P. Pinson,
Advanced tools for the management of electricity grids with
large-scale wind generation. ANEMOS.PLUS project. D4.1
Description of the test cases and available data. Technical
report, Technical University of Denmark, 2008.
T.K.
Kristoffersen, P. Meibom, J. Apfelbeck, R. Barth, and H. Brand.
WP3 Prototype development for operational planning tool. SUPWIND
project. Technical report, Technical University of Denmark,
2007. Available at http://supwind.risoe.dk/Results.htm.
T. K.
Kristoffersen, Stochastic Programming with Applications to Power
Systems. PhD thesis, Aarhus University, 2007. Available at
http://imf.au.dk/publication/publid/650/.
Awards
EURO Award
for the Best EJOR Paper - Innovative Application, 2015.
Teaching
2016-2022: Operations
Research 1 (OR1), Bachelor level, University of Copenhagen.
2012, 2013, 2015-2021: Operations Research 2: Advanced Operations
Research (OR2), Master
level, University of Copenhagen.
2020: First-year project in Mathematics,
Bachelor level, University of Copenhagen.
2013, 2014: Advanced Operations Research:
Stochastic Programming, Master and PhD level, University of
Copenhagen.
2008, 2010, 2011:
Modelling and Analysis of Sustainable Energy Systems, Master
level, Risoe DTU.
2008: Stochastic
Programming, Master level, external lecturer, University of
Copenhagen.
2006: Perspectives in
Mathematics-Economics, Bachelor level, University of Aarhus.
2005: Stochastic
Programming, Master level, University of Aarhus.
Supervision (Ph.D.)
Sangmin Lee (main supervisor), Approximate
dynamic programming for green liner shipping network design, University of Copenhagen.
Nena Batenburg (main
supervisor), Energy
sector coupling, equilibrium and decarbonization policies,
University
of Copenhagen.
Henrik Bylling (main supervisor), Equilibrium and
optimization models in renewable-based energy systems, University of Copenhagen,
completed 2019.
Rune Ramsdal Ernstsen (main supervisor), Valuing electricity generation
under future market designs, University of Copenhagen, completed 2017.
Ditte Moelgaard
Heide-Joergensen (main supervisor), Operations management in short-term power
markets, University of Copenhagen, completed 2017.
Supervision (master and bachelor)
Christian von Tabouillot (co-supervisor), bachelor thesis, University
of Copenhagen,
2022.
Astrid Xin
Yi Frandsen (co-supervisor), bachelor thesis, University
of Copenhagen,
2022.
Martine
Caldron (co-supervisor), bachelor thesis, University
of Copenhagen,
2022.
Kirstine Kathleen Roberts (main
supervisor), master thesis, University
of Copenhagen,
2022.
Nete Dorthea Nielsen (main supervisor), master thesis, University
of Copenhagen,
2022.
Gitte Rasmussen (main
supervisor,
collaboration with Maersk), master thesis, A
Markov decision process approach for the single-port empty
container repositioning problem, University
of Copenhagen,
2022.
Victor Todd-Moir, (main
supervisor,
collaboration with Maersk),
master thesis, Approaching unsplittable multicommodity
capacitated fixed-charge network design problems with
reinforcement learning, University
of Copenhagen,
2022.
Cathrine Zorde (main supervisor,
collaboration with Oersted),
master thesis, Medium-term scheduling at off-shore wind farms, University
of Copenhagen,
2021.
Alice Ryhl (co-supervisor), Nearest neighbours with
Voronoi clustering, bachelor thesis, University
of Copenhagen,
2021.
Ida Frandsen, Simone Dahl Joergensen, Ann-Sofie Christensen (main
supervisor), bachelor
thesis, Co-optimering
af el-, gas- og varmesystemer, University
of Copenhagen,
2021.
Christian Suderbo Jepsen Jensen, Jannick Pedersen (main
supervisor), bachelor thesis, Optimal
investeringsplan for et elektricitetssystem,
University of Copenhagen,
2021.
Sangmin Lee (main supervisor, collaboration with
Maersk),
master thesis, Learning network design solutions strategies
using reinforcement learning, University of
Copenhagen, 2020.
Sophia Nitsche,
bachelor thesis, Skemaplanlaegningsproblem
med symmetribetragtninger,
University of Copenhagen, 2020.
Kathrine Dolby Hovmand,
bachelor thesis,
Portfolio optimization by
multistage stochastic
programming, University
of Copenhagen, 2020.
Nete Dorthea Nielsen, bachelor
thesis, Reducering af symmetriske loesninger
i et skemaplanlaegningsproblem, University
of Copenhagen, 2020.
Emma Pietraszek (main supervisor, collaboration
with Oersted), A
stochastic approach to medium term scheduling -
optimizing the maintenance tasks at offshore wind farms,
master thesis, University of Copenhagen, 2020.
Karen Green Hansen (main supervisor), Optimal timetabling in order to
avoid symmetry, master thesis,
University
of Copenhagen, 2019.
Nikoleta Carmen Sirbu (main
supervisor), Akademisk
skemaplanlaegning, bachelor
thesis, University of
Copenhagen, 2019.
Magnus Rimer (co-supervisor), master
thesis, University
of Copenhagen, in progress.
Gitte Rasmussen and Josephine
Selch (main supervisor), Sammenligning af
forskellige MIP formuleringer for et
skemaplanlaegningsproblem, bachelor thesis, University of
Copenhagen, 2019.
Emilie Christine Werner Popp (main supervisor),
Bidding in the Danish energy system, master thesis, University of
Copenhagen, 2019.
Anders Moeller Jacobsen (main supervisor),
Optimal offering strategy for wind power in day-ahead market,
master thesis, University
of Copenhagen, 2019.
Sebastian Larsson (main
supervisor), Optimal kapacitet i elmarkedet, bachelor
thesis, University of
Copenhagen, 2018.
Gustav Lykke Mortensen (main supervisor), Solving a timetabling problem for the
Faculty of Law by column generation, bachelor thesis,
University of Copenhagen, 2018.
Sejla Gracanin
(main supervisor), Modeling a scheduling problem, master thesis,
University
of Copenhagen, 2017.
Cecilie Greisgaard Petersen (main supervisor), Multi-stage
stochastic programming for portfolio optimization, master
thesis, University
of Copenhagen, 2017.
Lasse Baggesgard (co-supervisor), Hydroelectric plant
optimization: Stages and scenarios, master thesis, University of
Copenhagen, 2017.
Rebecca
Helt and Julie Lehmbeck (main supervisor), Linear binary models for a
timetabling problem for the Faculty of Law, master thesis, University of
Copenhagen,
2017.
Kristoffer Larsen
(main
supervisor), Wind farm layout optimization with non-linear wake
effects,
master thesis, University of Copenhagen, 2017.
Eda Guwen (main supervisor), Stochastic vehicle
routing problem with stochastic demand, master thesis, University of
Copenhagen,
2017.
Ida Mortensen (main supervisor), An integer
programming approach to wind farm layout optimization, master thesis, University of
Copenhagen,
2016.
Malene Gregers (main supervisor), Multistage asset allocation
using SDDP,
master thesis, University of Copenhagen, 2016.
Isabella Munk Billing (co-supervisor), Maximizing customer
lifetime value, master thesis, University of Copenhagen, 2016.
Annika i Boe (main
supervisor), A dynamic programming formulation of the unit
commitment problem with minimum up- and down-time constraints,
bachelor thesis, University of Copenhagen, 2015.
Rebecca Helt and
Julie
Lehmbeck (co-supervisor), bachelor thesis, University of Copenhagen,
2014.
Line Worm
Christiansen (co-supervisor), bachelor thesis, University of Copenhagen,
2014.
Maria Schioett
Eriksen
(co-supervisor), Solving the Capacitated Vehicle Routing Problem with
Stochastic Demands using Column Generation, master thesis,
University of Copenhagen, 2014.
Ada Nzulumike
(co-supervisor), Solving the capacitated Stochastic Vehicle
Routing Problem with stochastic demands, using the cutting plane
method,
master thesis, University of Copenhagen, 2014.
Christina Faldt and Tine Vist Salo (main supervisor), Personnel
scheduling under uncertainty, bachelor thesis, University of
Copenhagen, 2013.
Eda Guwen (main supervisor), The travelling salesman problem: A
literature study, bachelor thesis, University of Copenhagen,
2013.
Bixiang Lui (main supervisor), Dynamic programming in electric vehicle
operation, bachelor thesis, University of Copenhagen, 2012.
Charlotte Bluhme and Michael Eget (main supervisor), Dynamic programming in
electric vehicle operation, bachelor thesis, University of Copenhagen,
2012.
Michael Stolbjerg Leni Drud (main supervisor), A stochastic programming approach
to bidding wind power into the electricity market, master
thesis, University of Copenhagen, 2011.
Karsten Capion (co-supervisor), Optimized charging of electric vehicles in a
market environment, master thesis, Technical University of
Denmark, 2009.
Mathilde Louise Barington (main supervisor), Stokastisk dynamisk programmering,
Anvendelsen af stokastisk dynamisk programmering paa vandkraft,
bachelor thesis, University of Copenhagen, 2008.
Lotte Gade (co-supervisor), Stabilitet af scenariegenereringsmetoder,
master thesis, Aarhus University, 2007.
Consultancy and project work
Valuations of wind power investments. Consultancy for Agder
Energi. 2008.
WP7: Case analysis of operational management of grids. SUPWIND
project. Supported by the European Commission under the Sixth
Framework Programme. 2008.
Stochastic bidding of a hydropower plant. Consultancy for Agder
Energi. 2007.
WP3: Prototype development for operational planning tool.
SUPWIND project. Supported by the European Commission under the
Sixth Framework Programme. 2007.
Editorial activities
Associate editor, Computational Management Science.
Review activities
Journal peer reviews: EUR J OPER RES, COMPUT OPER RES, ANN OPER RES, OR Spectrum, Discrete Optimization, Optimization, Journal of Banking and Finance, IEEE T
POWER SYST, APPL ENERG, Energy Economics, Journal of Commodity
Markets, IET Generation, Transmission & Distribution, Wind
Energy, Energy, Energy Policy, Journal of Cleaner Production,
Journal of Economic Dynamics and Control.
Research grant applications: Energy policy, economy and
sustainability, Research Council of Norway.
Committees and organizational
activities
Organizing committee, EURO-24, European
conference on Operational Research, Copenhagen.
Co-organizer, Stochastic Programming,
Master Class, International PhD course, University
of Copenhagen, 2022.
Assessment committee member, Associate
Professorships in Economics and Business Economics,
Aarhus University, 2022.
PhD assessment, Guray Kara, Stochastic
programming in analyzes of flexibility in power systems
and markets, Norwegian University of Science and
Technology. 2022.
Functioning union
representative and Vice chair of the Collaboration
committee at the Department of
Mathematical Sciences,
2021-22.
PhD assessment (chair),
Martin Jakobsen. University of Copenhagen. 2021.
PhD assessment, Stephanie
Buchholz, Advanced mathematical modeling related to
comprehensive energy system models. Technical
University of Denmark. 2020.
Assessment committee member, Associate
Professorship in Economics and Business Economics, Aarhus
University, 2019.
Member of the research commitee at the Department of
Mathematical Sciences, 2018-.
Organizer, Equilibrium Modeling Master Class, International
PhD course, University
of Copenhagen, 2018.
PhD assessment, Alessio Trivella, Decision making under
uncertainty in sustainable energy operations and investments.
Technical
University of Denmark. 2018.
Deputy union representative and member of the Collaboration
committee at the Department of
Mathematical Sciences,
2017-22.
PhD assessment, Ida Graested Jensen, Value chain optimization in
biogas production. Technical
University of Denmark. 2017.
PhD assessment (chair), Sima Mashayekhi,
Numerical methods for non-linear PDEs in finance. University of
Copenhagen. 2015.
PhD assessment, Luis Baringo, Stochastic
complementarity models for investment in wind power and
transmission facilities. Univ. Castilla - La Manca. 2013.
PhD assessment, Marco Zugno, Optimization under uncertainty for
management of renewables in electricity markets. Technical
University of Denmark. 2013.
PhD assessment (chair), Kenneth Bruhn, Preferences and Design in
Insurance and Pensions. University of Copenhagen. 2013.
PhD assessment, Anne Marie Boiden, Optimal financial planning
for individual households. University of
Copenhagen. 2011.
Grants and management
experience
Approximate dynamic programming
for green liner shipping network design, Innovation Fund
Denmark, 2022-2025. 1.072.000 DKK.
Energy sector coupling, equilibrium and decarbonization
policies, Independent Research Fund Denmark, 2021-2025. PI.
2.824.874 DKK.
Equilibrium
Modeling Master Class, International PhD
course, University
of Copenhagen, 2018. Organizer. 70.000 DKK.
AHEAD, Analyses of hourly electricity demand,
EUDP, 2017-2020. Work package leader. 0.77 mill. DKK (total
amount 5.57 mill. DKK).
MULTI-SHARM, Day-ahead bidding with multiple short-term markets,
The Research Council of Norway, 2015-2018.
Scientific advisor. 112.500 NOK (total 18.00 mill. NOK).
SAVE-E, Energy savings: Closing the energy
efficiency gap, The Danish Council for
Strategic Research, 2015-2018. Partner. 212.544 DKK (total
amount 16.68 mill. DKK).
RISKY-RES, Investment under uncertainty: EU
renewable energy support beyond 2020, The Research Council of
Norway, 2013-2016. 100.000 NOK (total 5.56 mill. NOK).
5S, Future Electricity Markets, The Danish Council for Strategic Research, 2013-2017.
Partner. 2.32 mill. DKK (total amount 11.00 mill. DKK).
ENSYMORA, Energy systems modelling, analysis and research, The
Danish Council for Strategic Research, 2011-2014. Work package
leader. 1.56 mil. DKK (total amount 18.85 mil. DKK).
PURELEC, Investment in renewable electricity under climate
policy uncertainty, The Research Council of Norway, 2010-2013.
Partner. 350.000 NOK (total amount 8.45 mil. NOK).
Real options on renewable energy, Carlsberg Foundation, 2008.
Post doctoral grant, 350.000 DK
Seminars
and conferences contributions (most recent)
Sector coupling and
market equilibrium, Digital Tech, Copenhagen, 2022.
Stochastic programming applications to power
system operation and investment, DTU Summer
School (International PhD course), University of
Denmark, 2022.
Introduction
to stochastic
programming, Master class
(International PhD course), University of
Copenhagen, 2022.
Introduction to stochastic
programming, Maersk. Tutorial, 2022.
Stochastic programming applications to power system operation
and investment. The XV International Conference on
Stochastic Programming. Invited tutorial,
2019.
Renewable generation expansion under different support schemes:
An equilibrium approach. Workshop on: Electronic Markets.
Copenhagen Business School, Copenhagen. Invited talk, 2018.
Termination of renewable energy support schemes: How uncertainty
speeds up investment rates. Norwegian School of Economics,
Bergen. Invited talk, 2013.
Termination of renewable energy support schemes: How uncertainty
speeds up investment rates. Energy Finance Seminar, Reykjavik.
Invited talk, 2013.
Termination of renewable energy support schemes: How incentives
to lock in future subsidies may speed up investments. Energy
Finance, Trondheim. Invited talk, 201