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Hussain Syed Kazmi
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2020 – today
- 2024
- [i5]Chun Fu, Hussain Syed Kazmi, Matias Quintana, Clayton Miller:
Creating synthetic energy meter data using conditional diffusion and building metadata. CoRR abs/2404.00525 (2024) - [i4]Joris Depoortere, Johan Driesen, Johan A. K. Suykens, Hussain Syed Kazmi:
SolNet: Open-source deep learning models for photovoltaic power forecasting across the globe. CoRR abs/2405.14472 (2024) - 2023
- [j3]Attila Balint, Haroon Raja, Johan Driesen, Hussain Syed Kazmi:
Using Domain-Augmented Federated Learning to Model Thermostatically Controlled Loads. IEEE Trans. Smart Grid 14(5): 4116-4124 (2023) - [c7]Muhammad Hafeez Saeed, Hussain Syed Kazmi, Geert Deconinck:
Physics-informed model-based reinforcement learning (PI-MBRL) to control building heating systems in low training data regimes. BuildSys@SenSys 2023: 300-302 - [c6]Chun Fu, Hussain Syed Kazmi, Matias Quintana, Clayton Miller:
Enhancing Classification of Energy Meters with Limited Labels using a Semi-Supervised Generative Model. BuildSys@SenSys 2023: 450-453 - 2022
- [c5]Muhammad Hafeez Saeed, Hussain Syed Kazmi, Geert Deconinck:
Bottom-up quantification of energy flexibility in cluster of residential heat pump systems. ISGT-Europe 2022: 1-5 - 2021
- [j2]Merel Keijsers, Hussain Syed Kazmi, Friederike Eyssel, Christoph Bartneck:
Teaching Robots a Lesson: Determinants of Robot Punishment. Int. J. Soc. Robotics 13(1): 41-54 (2021) - [c4]Hussain Syed Kazmi, Pieterjan Vaneerdewegh, Johan Driesen:
Estimating residential energy flexibility potential through forced activations. BuildSys@SenSys 2021: 272-275
2010 – 2019
- 2019
- [j1]Manar Amayri, Stéphane Ploix, Hussain Syed Kazmi, Quoc-Dung Ngo, El Abed El Safadi:
Estimating Occupancy from Measurements and Knowledge Using the Bayesian Network for Energy Management. J. Sensors 2019: 7129872:1-7129872:12 (2019) - [c3]Merel Keijsers, Christoph Bartneck, Hussain Syed Kazmi:
Cloud-Based Sentiment Analysis for Interactive Agents. HAI 2019: 43-50 - 2018
- [c2]Hussain Syed Kazmi, Johan A. K. Suykens, Johan Driesen:
Valuing Knowledge, Information and Agency in Multi-agent Reinforcement Learning: A Case Study in Smart Buildings. AAMAS 2018: 585-587 - [i3]Hussain Syed Kazmi, Fahad Mehmood, Stefan Lodeweyckx, Johan Driesen:
Deep Reinforcement Learning based Optimal Control of Hot Water Systems. CoRR abs/1801.01467 (2018) - [i2]Hussain Syed Kazmi, Johan A. K. Suykens, Johan Driesen:
Valuing knowledge, information and agency in Multi-agent Reinforcement Learning: a case study in smart buildings. CoRR abs/1803.03491 (2018) - [i1]Adam Nagy, Hussain Syed Kazmi, Farah Cheaib, Johan Driesen:
Deep Reinforcement Learning for Optimal Control of Space Heating. CoRR abs/1805.03777 (2018) - 2017
- [c1]Hussain Syed Kazmi, Fahad Mehmood, Manar Amayri:
Smart Home Futures: Algorithmic Challenges and Opportunities. ISPAN-FCST-ISCC 2017: 441-448
Coauthor Index
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