Peer reviewed publications
F. M. Andersen, H. V. Larsen and T. K. Boomsma. Forecasting hourly electricity load: Identification of consumption profiles and segmentation of customers. Accepted for publication, Energy Conversion and Management, 2013.
T. K. Boomsma and S.-E. Fleten. Discussion on 'Profit maximization of a power plant'. EUR J CONTROL 18(1), 55-57, 2012.
T. K. Boomsma, N. Meade and S.-E. Fleten. Renewable energy investments under different support schemes: A real options approach. EUR J OPER RES 220, 225-237, 2012.
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.
T. K. Kristoffersen and S.-E. Fleten. Stochastic programming models for short-term power generation and bidding, M. Bjørndal and M. Rönnqvist (eds.), in: Energy, Natural Resource and Environmental Economics, 187-200, 2010.
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.
S.-E. Fleten and T. K. Kristoffersen. Short-term hydropower production planning by stochastic programming. COMPUT OPER RES 35(8), 2656-2671, 2008.
S.-E. Fleten and T. K. Kristoffersen. Stochastic programming for optimizing bidding strategies of a Nordic hydropower producer. EUR J OPER RES 181(2), 916-928, 2006.
T. K. Kristoffersen. Deviation measures in linear two-stage stochastic programming. MATH METHOD OPER RES 62(2), 255-274, 2005.

Submitted papers, technical reports and mischellaneous
L. Maurovich-Horvat, T. K. Boomsma, S.-E. Fleten and A. Siddiqui, Transmission and wind investment in a deregulated electricity industry. Conference contribution, EEM13, 2013.
E. N. Alsnæs, R. Grøndahl, , S.-E. Fleten and T. K. Boomsma, The degree of rationality in actual bidding of hydropower at Nord Pool. Conference contribution, EEM13, 2013.
T. K. Boomsma, N. Juul and S.-E. Fleten, Bidding in sequential electricity markets: The Nordic case, submitted, 2013.
S. Delikaraoglou, T. K. Boomsma and N. Juul. Optimal charging of electric drive vehicles: A dynamic programming approach. Book chapter. Accepted for publication, 2012.
N. Juul and T. K. Boomsma. Investment and operation in an integrated power and transport system. Book chapter. Accepted for publication, 2012.
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. Gøttig. 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, 2009.
T. K. Kristoffersen, H. Larsen, P. Meibom, A. Gøttig, J. Apfelbeck, R. Barth, and H. Brand. WP7 Case analysis of operational management of grids. SUPWIND project. Technical report, 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, 2008.
T.K. Kristoffersen, P. Meibom, J. Apfelbeck, R. Barth, and H. Brand. WP3 Prototype development for operational planning tool. SUPWIND project. Technical report, 2007. Available at http://supwind.risoe.dk/Results.htm.
T. K. Kristoffersen, Stochastic Programming with Applications to Power Systems, Aarhus University, 2007. Available at http://imf.au.dk/publication/publid/650/.

Department of Mathematical Sciences, University of Copenhagen, Universitetsparken 5, 2100 København Ø, Denmark, email: trine@math.ku.dk, phone: +4535320733