Hussain Kazmi - RankMe

29 papers B 2Journal 8Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mitigation of Extreme Events in the Distribution Grid Through Control of Flexible Resources. IEEE Access Xavier Weiss, Arvid Rolander, Hussain Kazmi, Lars Nordström, Patrik Hilber
2025	—	`conf`	How realistic are synthetic energy data? Feature-based evaluation of generated smart meter load profiles. BuildSys Nazar Demir, Talia Qaiser, Ada Canaydin, Chun Fu, Matias Quintana, Clayton Miller, Hussain Kazmi
2025	J	`jnl`	Leveraging Asynchronous Cross-border Market Data for Improved Day-Ahead Electricity Price Forecasting in European Markets. CoRR Maria Margarida Mascarenhas, Jilles De Blauwe, Mikael Amelin, Hussain Kazmi
2025	—	`conf`	Using value-oriented forecasting to optimize PV battery system operation. e-Energy Joris Depoortere, Hussain Kazmi, Johan Driesen
2024	—	`conf`	Beyond empirical risk: testing data-driven energy models in sparse and biased data regimes. e-Energy Hussain Kazmi, Attila Balint, Fuyang Jiang, Jilles De Blauwe, Fahad Mehmood
2024	—	`conf`	Causal data-driven modelling of overheating risk in high efficiency residential buildings. BuildSys Fuyang Jiang, Hussain Kazmi
2024	—	`conf`	EnFoBench: A community-driven energy forecasting benchmark. ISGT EUROPE Attila Balint, Chun Fu, Johan Driesen, Hussain Kazmi
2024	—	`conf`	Feature-based identification of distributed energy resources in buildings from aggregated smart meter data. ISGT EUROPE Ada Canaydin, Joris Depoortere, Hussain Kazmi
2024	—	`conf`	Global forecast models for the Belgian combined heat and power plant stock. ISGT EUROPE Joris Depoortere, Xavier Weiss, Johan Driesen, Lars Nordström, Hussain Kazmi
2024	—	`conf`	Physics informed Deep-o-Nets as universal approximator for modelling district-level building heating systems. BuildSys Muhammad Hafeez Saeed, Hussain Kazmi, Geert Deconinck
2023	—	`conf`	Enhancing Classification of Energy Meters with Limited Labels using a Semi-Supervised Generative Model. BuildSys Chun Fu, Hussain Kazmi, Matias Quintana, Clayton Miller
2023	—	`conf`	On the causality of data-driven building thermal models. BuildSys Fuyang Jiang, Johan Driesen, Hussain Kazmi
2023	J	`jnl`	On the contribution of pre-trained models to accuracy and utility in modeling distributed energy resources. CoRR Hussain Kazmi, Pierre Pinson
2023	—	`conf`	Physics-informed model-based reinforcement learning (PI-MBRL) to control building heating systems in low training data regimes. BuildSys Muhammad Hafeez Saeed, Hussain Kazmi, Geert Deconinck
2023	B	`conf`	The Forecastability of Underlying Building Electricity Demand from Time Series Data. IEEE Big Data Mohamad Khalil, A. Stephen McGough, Hussain Kazmi, Sara Walker
2023	J	`jnl`	The Forecastability of Underlying Building Electricity Demand from Time Series Data. CoRR Mohamad Khalil, A. Stephen McGough, Hussain Kazmi, Sara Walker
2023	J	`jnl`	Using Domain-Augmented Federated Learning to Model Thermostatically Controlled Loads. IEEE Trans. Smart Grid Attila Balint, Haroon Raja, Johan Driesen, Hussain Kazmi
2023	—	`conf`	Using domain-augmented federated learning to model thermostatically controlled loads. ISGT EUROPE Attila Balint, Haroon Raja, Johan Driesen, Hussain Kazmi
2022	—	`conf`	Bottom-up quantification of energy flexibility in cluster of residential heat pump systems. ISGT-Europe Muhammad Hafeez Saeed, Hussain Kazmi, Geert Deconinck
2022	J	`jnl`	Is your forecaster smarter than an energy engineer: a deep dive into electricity price forecasting. CoRR Maria Margarida Mascarenhas, Hussain Kazmi
2021	—	`conf`	Data-driven Decision-Making Methodology for Prognostic and Health Management of Wind Turbines. ANZCC Khaoula Tidriri, Ahmad Braydi, Hussain Kazmi
2021	—	`conf`	Estimating residential energy flexibility potential through forced activations. BuildSys Hussain Kazmi, Pieterjan Vaneerdewegh, Johan Driesen
2021	J	`jnl`	Teaching Robots a Lesson: Determinants of Robot Punishment. Int. J. Soc. Robotics Merel Keijsers, Hussain Kazmi, Friederike Eyssel, Christoph Bartneck
2021	—	`conf`	Teaching machine learning through end-to-end decision making. Teaching ML Hussain Kazmi
2019	B	`conf`	Cloud-Based Sentiment Analysis for Interactive Agents. HAI Merel Keijsers, Christoph Bartneck, Hussain Kazmi
2019	J	`jnl`	Estimating Occupancy from Measurements and Knowledge Using the Bayesian Network for Energy Management. J. Sensors Manar Amayri, Stéphane Ploix, Hussain Kazmi, Quoc-Dung Ngo, El Abed El Safadi
2017	—	`conf`	Minimizing Grid Interaction of Solar Generation and DHW Loads in nZEBs Using Model-Free Reinforcement Learning. DARE@PKDD/ECML Adhra Ali, Hussain Kazmi
2017	—	`conf`	Smart Home Futures: Algorithmic Challenges and Opportunities. ISPAN-FCST-ISCC Hussain Kazmi, Fahad Mehmood, Manar Amayri
2016	—	`conf`	Demonstrating model-based reinforcement learning for energy efficiency and demand response using hot water vessels in net-zero energy buildings. ISGT Europe Hussain Kazmi, Simona D'Oca