| Online short-term solar power forecasting P Bacher, H Madsen, HA Nielsen Solar energy 83 (10), 1772-1783, 2009 | 970 | 2009 |
| A review on the young history of the wind power short-term prediction A Costa, A Crespo, J Navarro, G Lizcano, H Madsen, E Feitosa Renewable and Sustainable Energy Reviews 12 (6), 1725-1744, 2008 | 887 | 2008 |
| Identifying suitable models for the heat dynamics of buildings P Bacher, H Madsen Energy and buildings 43 (7), 1511-1522, 2011 | 829 | 2011 |
| Integrating renewables in electricity markets: operational problems JM Morales, AJ Conejo, H Madsen, P Pinson, M Zugno Springer Science & Business Media, 2013 | 789 | 2013 |
| Time series analysis H Madsen Chapman & Hall/CRC, 2007 | 725 | 2007 |
| Benefits and challenges of electrical demand response: A critical review P Pinson, H Madsen Renewable and Sustainable Energy Reviews 39, 686-699, 2014 | 678 | 2014 |
| From probabilistic forecasts to statistical scenarios of shortterm wind power production P Pinson, H Madsen, HA Nielsen, G Papaefthymiou, B Klöckl Wind Energy 12 (1), 51-62, 2009 | 654 | 2009 |
| A protocol for standardizing the performance evaluation of short-term wind power prediction models H Madsen, G Kariniotakis, HA Nielsen, TS Nielsen, P Pinson Proceedings of the Global Wind Power Conference Chicago, 2004 | 520* | 2004 |
| Comparison of annual maximum series and partial duration series methods for modeling extreme hydrologic events: 1. Atsite modeling H Madsen, PF Rasmussen, D Rosbjerg Water resources research 33 (4), 747-757, 1997 | 504 | 1997 |
| Parameter estimation in stochastic grey-box models NR Kristensen, H Madsen, SB Jørgensen Automatica 40 (2), 225-237, 2004 | 444 | 2004 |
| On the market impact of wind energy forecasts T Jónsson, P Pinson, H Madsen Energy Economics 32 (2), 313-320, 2010 | 428 | 2010 |
| Characterizing the energy flexibility of buildings and districts RG Junker, AG Azar, RA Lopes, KB Lindberg, G Reynders, R Relan, ... Applied energy 225, 175-182, 2018 | 416 | 2018 |
| Models for ecient integration of solar energy P Bacher, H Madsen Technical University of DenmarkDanmarks Tekniske Universitet …, 0 | 409* | |
| Power fluctuations from large wind farms P Sorensen, NA Cutululis, A Vigueras-Rodríguez, LE Jensen, J Hjerrild, ... IEEE Transactions on Power Systems 22 (3), 958-965, 2007 | 401 | 2007 |
| Multi-site solar power forecasting using gradient boosted regression trees C Persson, P Bacher, T Shiga, H Madsen Solar Energy 150, 423-436, 2017 | 400 | 2017 |
| Introduction to general and generalized linear models P Thyregod, H Madsen CRC Press Incorporated, 2010 | 397* | 2010 |
| Nonparametric probabilistic forecasts of wind power: required properties and evaluation P Pinson, HA Nielsen, JK Møller, H Madsen, GN Kariniotakis Wind Energy: An International Journal for Progress and Applications in Wind …, 2007 | 393 | 2007 |
| A bilevel model for electricity retailers' participation in a demand response market environment M Zugno, JM Morales, P Pinson, H Madsen Energy Economics 36, 182-197, 2013 | 392 | 2013 |
| Estimation of continuous-time models for the heat dynamics of a building H Madsen, J Holst Energy and buildings 22 (1), 67-79, 1995 | 378 | 1995 |
| Economic model predictive control for building climate control in a smart grid R Halvgaard, NK Poulsen, H Madsen, JB Jørgensen 2012 IEEE PES innovative smart grid technologies (ISGT), 1-6, 2012 | 376 | 2012 |
Pierre PinsonProfessor, Imperial College London, Dyson School of Design Engineering在 imperial.ac.uk 的电子邮件经过验证
