| Renewable energy investments under different support schemes: A real options approach TK Boomsma, N Meade, SE Fleten European Journal of Operational Research 220 (1), 225-237, 2012 | 469 | 2012 |
| Optimal charging of electric drive vehicles in a market environment TK Kristoffersen, K Capion, P Meibom Applied Energy 88 (5), 1940-1948, 2011 | 392 | 2011 |
| Short-term hydropower production planning by stochastic programming SE Fleten, TK Kristoffersen Computers & Operations Research 35 (8), 2656-2671, 2008 | 279 | 2008 |
| Stochastic programming for optimizing bidding strategies of a Nordic hydropower producer SE Fleten, TK Kristoffersen European Journal of Operational Research 181 (2), 916-928, 2007 | 240 | 2007 |
| Bidding in sequential electricity markets: The Nordic case TK Boomsma, N Juul, SE Fleten European Journal of Operational Research 238 (3), 797-809, 2014 | 146 | 2014 |
| Long-term forecasting of hourly electricity load: Identification of consumption profiles and segmentation of customers FM Andersen, HV Larsen, TK Boomsma Energy conversion and Management 68, 244-252, 2013 | 139 | 2013 |
| Market and policy risk under different renewable electricity support schemes TK Boomsma, K Linnerud Energy 89, 435-448, 2015 | 102 | 2015 |
| A real options approach to analyse wind energy investments under different support schemes L Kitzing, N Juul, M Drud, TK Boomsma Applied Energy 188, 83-96, 2017 | 81 | 2017 |
| Transmission and wind investment in a deregulated electricity industry L Maurovich-Horvat, TK Boomsma, AS Siddiqui IEEE Transactions on Power Systems 30 (3), 1633-1643, 2014 | 73 | 2014 |
| Renewable generation expansion under different support schemes: A stochastic equilibrium approach S Pineda, TK Boomsma, S Wogrin European Journal of Operational Research 266 (3), 1086-1099, 2018 | 50 | 2018 |
| Impact of forecast errors on expansion planning of power systems with a renewables target S Pineda, JM Morales, TK Boomsma European Journal of Operational Research 248 (3), 1113-1122, 2016 | 49 | 2016 |
| Deviation measures in linear two-stage stochastic programming TK Kristoffersen Mathematical Methods of Operations Research 62, 255-274, 2005 | 29 | 2005 |
| The impact of short-term variability and uncertainty on long-term power planning HC Bylling, S Pineda, TK Boomsma Annals of Operations Research 284, 199-223, 2020 | 25 | 2020 |
| Stochastic programming with applications to power systems TK Kristoffersen | 23 | 2007 |
| Strategies for charging electric vehicles in the electricity market N Juul, G Pantuso, JEB Iversen, TK Boomsma International Journal of Sustainable Energy Planning and Management 7, 67-74, 2015 | 20 | 2015 |
| Stochastic programming models for short-term power generation scheduling and bidding TK Kristoffersen, SE Fleten Energy, Natural Resources and Environmental Economics, 187-200, 2010 | 20 | 2010 |
| On the number of stages in multistage stochastic programs G Pantuso, TK Boomsma Annals of Operations Research 292 (2), 581-603, 2020 | 17 | 2020 |
| A parametric programming approach to bilevel optimisation with lower-level variables in the upper level HC Bylling, SA Gabriel, TK Boomsma Journal of the Operational Research Society 71 (5), 846-865, 2020 | 17 | 2020 |
| Valuation of power plants RR Ernstsen, TK Boomsma European Journal of Operational Research 266 (3), 1153-1174, 2018 | 16 | 2018 |
| Insights from actual day-ahead bidding of hydropower EN Alnæs, RB Grøndahl, SE Fleten, TK Boomsma International Journal of Sustainable Energy Planning and Management 7, 34-54, 2015 | 12 | 2015 |
