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Rasmus Elbæk Hedegaard
Rasmus Elbæk Hedegaard
Post Doc, Department of Engineering, Aarhus University
在 eng.au.dk 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Bottom-up modelling methodology for urban-scale analysis of residential space heating demand response
RE Hedegaard, MH Kristensen, TH Pedersen, A Brun, S Petersen
Applied Energy 242, 181-204, 2019
1222019
Hierarchical calibration of archetypes for urban building energy modeling
MH Kristensen, RE Hedegaard, S Petersen
Energy and Buildings 175, 219-234, 2018
992018
Space heating demand response potential of retrofitted residential apartment blocks
TH Pedersen, RE Hedegaard, S Petersen
Energy and Buildings 141, 158-166, 2017
952017
Multi-market demand response using economic model predictive control of space heating in residential buildings
RE Hedegaard, TH Pedersen, S Petersen
Energy and Buildings 150, 253-261, 2017
722017
Long-term forecasting of hourly district heating loads in urban areas using hierarchical archetype modeling
MH Kristensen, RE Hedegaard, S Petersen
Energy 201, 117687, 2020
512020
Evaluation of grey-box model parameter estimates intended for thermal characterization of buildings
RE Hedegaard, S Petersen
Energy Procedia 132, 982-987, 2017
352017
The effect of including hydronic radiator dynamics in model predictive control of space heating
TH Pedersen, RE Hedegaard, KF Kristensen, B Gadgaard, S Petersen
Energy and Buildings 183, 772-784, 2019
282019
Towards practical model predictive control of residential space heating: Eliminating the need for weather measurements
RE Hedegaard, TH Pedersen, MD Knudsen, S Petersen
Energy and Buildings 170, 206-216, 2018
262018
System identification of thermal building models for demand response–A practical approach
MD Knudsen, RE Hedegaard, TH Pedersen, S Petersen
Energy Procedia 122, 937-942, 2017
232017
Experimental validation of a model-based method for separating the space heating and domestic hot water components from smart-meter consumption data
RE Hedegaard, MH Kristensen, S Petersen
E3S web of conferences 172, 12001, 2020
142020
Room-level load shifting of space heating in a single-family house–A field experiment
V Amato, RE Hedegaard, MD Knudsen, S Petersen
Energy and Buildings 281, 112750, 2023
132023
Comparison of centralized and decentralized model predictive control in a building retrofit scenario
TH Pedersen, RE Hedegaard, MD Knudsen, S Petersen
Energy Procedia 122, 979-984, 2017
122017
Building energy flexibility as an asset in system-wide district heating optimization models
RE Hedegaard, L Friedrichsen, J Tougaard, T Mølbak, S Petersen
uSIM2020-Building to Buildings: Urban and Community Energy Modelling, Edinburgh, 2020
102020
Handling thermal comfort in economic model predictive control schemes for demand response
TH Pedersen, MD Knudsen, RE Hedegaard, S Petersen
Energy Procedia 122, 985-990, 2017
102017
Model predictive control of space heating and the impact of taxes on demand response: a simulation study
MD Knudsen, RE Hedegaard, T Pedersen, S Petersen
CLIMA 2016-proceedings of the 12th REHVA World Congress, 11, 2016
62016
Identifying a comfortable excitation signal for generating building models for model predictive control: a simulation study
RE Hedegaard, T Pedersen, MD Knudsen, S Petersen
CLIMA 2016-Proceedings of the 12th REHVA World Congress, 575, 2016
42016
Urban-scale dynamic building energy modeling and prediction using hierarchical archetypes: A case study of two Danish towns
MH Kristensen, RE Hedegaard, S Petersen
Proceedings of BSO 2018: 4th Building Simulation and Optimization Conference …, 2018
32018
Handling Stochastic Occupancy in an Economic Model Predictive Control Framework for Heating System Operation in Dwellings
T Pedersen, MD Knudsen, RE Hedegaard, S Petersen
CLIMA 2016: 12th REHVA World Congress, 622, 2016
32016
The effect of seasonal weather changes on the performance of databased models of the thermodynamic behaviour of buildings
TH Broholt, LRL Christensen, MD Knudsen, RE Hedegaard, S Petersen
E3S Web of Conferences 172, 02005, 2020
22020
IDF EnergyPlus files of an existing Danish apartment block and eight retrofit scenarios
TH Pedersen, RE Hedegaard, S Petersen
Mendeley Data, v2 http://dx. doi. org/10.17632/6dhk66w5gj 2, 2017
22017
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