Παρακολούθηση
Hussain Kazmi
Hussain Kazmi
KU Leuven
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα kuleuven.be - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
Gigawatt-hour scale savings on a budget of zero: Deep reinforcement learning based optimal control of hot water systems
H Kazmi, F Mehmood, S Lodeweyckx, J Driesen
Energy 144, 159-168, 2018
1232018
Multi-agent reinforcement learning for modeling and control of thermostatically controlled loads
H Kazmi, J Suykens, A Balint, J Driesen
Applied energy 238, 1022-1035, 2019
972019
Generalizable occupant-driven optimization model for domestic hot water production in NZEB
H Kazmi, S D’Oca, C Delmastro, S Lodeweyckx, SP Corgnati
Applied Energy 175, 1-15, 2016
962016
Transfer learning in demand response: A review of algorithms for data-efficient modelling and control
T Peirelinck, H Kazmi, BV Mbuwir, C Hermans, F Spiessens, J Suykens, ...
Energy and AI 7, 100126, 2022
802022
Towards data-driven energy communities: A review of open-source datasets, models and tools
H Kazmi, Í Munné-Collado, F Mehmood, TA Syed, J Driesen
Renewable and Sustainable Energy Reviews 148, 111290, 2021
802021
Deep reinforcement learning for optimal control of space heating
A Nagy, H Kazmi, F Cheaib, J Driesen
arXiv preprint arXiv:1805.03777, 2018
732018
Determinants of energy flexibility in residential hot water systems
A Balint, H Kazmi
Energy and Buildings 188, 286-296, 2019
602019
Electricity load-shedding in Pakistan: Unintended consequences, opportunities and policy recommendations
H Kazmi, F Mehmood, Z Tao, Z Riaz, J Driesen
Energy Policy 128, 411-417, 2019
572019
Review of applied and tested control possibilities for energy flexibility in buildings
C Finck, P Beagon, J Claus, T Pean, P Vogler-Finck, K Zhang, HS Kazmi
International Energy Agency, 2018
482018
Teaching robots a lesson: determinants of robot punishment
M Keijsers, H Kazmi, F Eyssel, C Bartneck
International Journal of Social Robotics 13, 41-54, 2021
362021
How good are TSO load and renewable generation forecasts: Learning curves, challenges, and the road ahead
H Kazmi, Z Tao
Applied Energy 323, 119565, 2022
302022
Ten questions concerning data-driven modelling and forecasting of operational energy demand at building and urban scale
H Kazmi, C Fu, C Miller
Building and Environment 239, 110407, 2023
252023
Estimating occupancy from measurements and knowledge using the bayesian network for energy management
M Amayri, S Ploix, H Kazmi, QD Ngo, ELAEL Safadi
Journal of Sensors 2019 (1), 7129872, 2019
252019
Smart home futures: Algorithmic challenges and opportunities
H Kazmi, F Mehmood, M Amayri
2017 14th International Symposium on Pervasive Systems, Algorithms and …, 2017
212017
Developing energy flexibility in clusters of buildings: A critical analysis of barriers from planning to operation
J Le Dréau, RA Lopes, S O'Connell, D Finn, M Hu, H Queiroz, ...
Energy and Buildings, 113608, 2023
192023
Cloud-based sentiment analysis for interactive agents
M Keijsers, C Bartneck, HS Kazmi
Proceedings of the 7th international conference on human-agent interaction …, 2019
192019
Energy balances, thermal performance, and heat stress: Disentangling occupant behaviour and weather influences in a Dutch net-zero energy neighborhood
H Kazmi, M Keijsers, F Mehmood, C Miller
Energy and Buildings 263, 112020, 2022
172022
Demonstrating model-based reinforcement learning for energy efficiency and demand response using hot water vessels in net-zero energy buildings
H Kazmi, S D'Oca
2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT …, 2016
162016
Principles of energy flexible buildings: energy in buildings and communities programme annex 67 energy flexible buildings
AJ Marszal-Pomianowska, H Johra, A Knotzer, J Salom, T Péan, ...
International Energy Agency, 2020
14*2020
What metrics does the building energy performance community use to compare dynamic models?
H Johra, M Schaffer, G Chaudhary, HS Kazmi, J Le Dréau, S Petersen
IBPSA Building Simulation 2023, 861-868, 2023
12*2023
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