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Michael Dahl Knudsen
Michael Dahl Knudsen
Assistent Professor of Building Energy Management, Aarhus University
在 eng.au.dk 的电子邮件经过验证
标题
引用次数
引用次数
年份
Demand response potential of model predictive control of space heating based on price and carbon dioxide intensity signals
MD Knudsen, S Petersen
Energy and Buildings 125, 196-204, 2016
1172016
Establishing an image-based ground truth for validation of sensor data-based room occupancy detection
S Petersen, TH Pedersen, KU Nielsen, MD Knudsen
Energy and Buildings 130, 787-793, 2016
802016
Model predictive control for demand response of domestic hot water preparation in ultra-low temperature district heating systems
MD Knudsen, S Petersen
Energy and Buildings 146, 55-64, 2017
762017
Experimental test of a black-box economic model predictive control for residential space heating
MD Knudsen, L Georges, KS Skeie, S Petersen
Applied Energy 298, 117227, 2021
422021
Prerequisites for reliable sensitivity analysis of a high fidelity building energy model
S Petersen, MH Kristensen, MD Knudsen
Energy and Buildings 183, 1-16, 2019
342019
Economic model predictive control of space heating and dynamic solar shading
MD Knudsen, S Petersen
Energy and Buildings 209, 109661, 2020
292020
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
Investigation of the model structure for low-order grey-box modelling of residential buildings
X Yu, L Georges, MD Knudsen, I Sartori, L Imsland
Proc. Build. Simul, 2019
152019
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
The robustness of black and grey-box models of thermal building behaviour against weather changes
TH Broholt, MD Knudsen, S Petersen
Energy and Buildings 275, 112460, 2022
132022
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
Dual-zone economic model predictive control of residential space heating for demand response using a single heat meter
V Amato, MD Knudsen, S Petersen
Energy and Buildings 281, 112759, 2023
112023
Influence of data pre-processing and sensor dynamics on grey-box models for space-heating: Analysis using field measurements
X Yu, KS Skeie, MD Knudsen, Z Ren, L Imsland, L Georges
Building and Environment 212, 108832, 2022
102022
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
Method for including the economic value of indoor climate as design criterion in optimisation of office building design
S Petersen, MD Knudsen
Building and Environment 122, 15-22, 2017
92017
Combined price and event-based demand response using two-stage model predictive control
MD Knudsen, S Rotger-Griful
2015 IEEE International Conference on Smart Grid Communications …, 2015
92015
Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate
I Sartori, HT Walnum, KS Skeie, L Georges, MD Knudsen, P Bacher, ...
Data in Brief 48, 109149, 2023
72023
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
Evaluation of Price-based Demand Response Potential using Economic Model Predictive Control for Residential Heating
MD Knudsen
Aarhus University, Department of Engineering, 2016
42016
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