Hussain Kazmi

According to our database, Hussain Kazmi authored at least 30 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A review of imbalance price forecasting algorithms in Europe: algorithms, metrics and the way forward.

Arnaud Verstraeten, Maria Margarida Mascarenhas, Hussain Kazmi

CoRR, May, 2026

Empirical evaluation of Time Series Foundation Models for Day-ahead and Imbalance Electricity Price Forecasting in Belgium.

Chi Bui, Maria Margarida Mascarenhas, Arnaud Verstraeten, Hussain Kazmi

CoRR, May, 2026

Mitigation of Extreme Events in the Distribution Grid Through Control of Flexible Resources.

Xavier Weiss, Arvid Rolander, Hussain Kazmi, Lars Nordström, Patrik Hilber

IEEE Access, 2026

Zero-Shot Building Energy Forecasting Using Chronos-2 Foundation Models.

Chun Fu, Li-Wei Cheng, Tzu-Han Chuang, Hussain Kazmi, Clayton Miller

Proceedings of the 2026 ACM Sustainability Week, 2026

2025

Leveraging Asynchronous Cross-border Market Data for Improved Day-Ahead Electricity Price Forecasting in European Markets.

Maria Margarida Mascarenhas, Jilles De Blauwe, Mikael Amelin, Hussain Kazmi

CoRR, July, 2025

Using value-oriented forecasting to optimize PV battery system operation.

Joris Depoortere, Hussain Kazmi, Johan Driesen

Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems, 2025

How realistic are synthetic energy data? Feature-based evaluation of generated smart meter load profiles.

Nazar Demir, Talia Qaiser, Ada Canaydin, Chun Fu, Matias Quintana, Clayton Miller, Hussain Kazmi

Proceedings of the 12th ACM International Conference on Systems for Energy-Efficient Buildings, 2025

2024

Global forecast models for the Belgian combined heat and power plant stock.

Joris Depoortere, Xavier Weiss, Johan Driesen, Lars Nordström, Hussain Kazmi

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

Feature-based identification of distributed energy resources in buildings from aggregated smart meter data.

Ada Canaydin, Joris Depoortere, Hussain Kazmi

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

EnFoBench: A community-driven energy forecasting benchmark.

Attila Balint, Chun Fu, Johan Driesen, Hussain Kazmi

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

Beyond empirical risk: testing data-driven energy models in sparse and biased data regimes.

Hussain Kazmi, Attila Balint, Fuyang Jiang, Jilles De Blauwe, Fahad Mehmood

Proceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems, 2024

Physics informed Deep-o-Nets as universal approximator for modelling district-level building heating systems.

Muhammad Hafeez Saeed, Hussain Kazmi, Geert Deconinck

Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024

Causal data-driven modelling of overheating risk in high efficiency residential buildings.

Fuyang Jiang, Hussain Kazmi

Proceedings of the 11th ACM International Conference on Systems for Energy-Efficient Buildings, 2024

2023

On the contribution of pre-trained models to accuracy and utility in modeling distributed energy resources.

Hussain Kazmi, Pierre Pinson

CoRR, 2023

Physics-informed model-based reinforcement learning (PI-MBRL) to control building heating systems in low training data regimes.

Muhammad Hafeez Saeed, Hussain Kazmi, Geert Deconinck

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

On the causality of data-driven building thermal models.

Fuyang Jiang, Johan Driesen, Hussain Kazmi

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Enhancing Classification of Energy Meters with Limited Labels using a Semi-Supervised Generative Model.

Chun Fu, Hussain Kazmi, Matias Quintana, Clayton Miller

Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, 2023

Using domain-augmented federated learning to model thermostatically controlled loads.

Attila Balint, Haroon Raja, Johan Driesen, Hussain Kazmi

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

The Forecastability of Underlying Building Electricity Demand from Time Series Data.

Mohamad Khalil, A. Stephen McGough, Hussain Kazmi, Sara Walker

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Is your forecaster smarter than an energy engineer: a deep dive into electricity price forecasting.

Maria Margarida Mascarenhas, Hussain Kazmi

CoRR, 2022

Bottom-up quantification of energy flexibility in cluster of residential heat pump systems.

Muhammad Hafeez Saeed, Hussain Kazmi, Geert Deconinck

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2022

2021

Teaching Robots a Lesson: Determinants of Robot Punishment.

Merel Keijsers, Hussain Kazmi, Friederike Eyssel, Christoph Bartneck

Int. J. Soc. Robotics, 2021

Teaching machine learning through end-to-end decision making.

Hussain Kazmi

Proceedings of the Second Teaching Machine Learning and Artificial Intelligence Workshop, 2021

Estimating residential energy flexibility potential through forced activations.

Hussain Kazmi, Pieterjan Vaneerdewegh, Johan Driesen

Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

Data-driven Decision-Making Methodology for Prognostic and Health Management of Wind Turbines.

Khaoula Tidriri, Ahmad Braydi, Hussain Kazmi

Proceedings of the 2021 Australian & New Zealand Control Conference, 2021

2019

Estimating Occupancy from Measurements and Knowledge Using the Bayesian Network for Energy Management.

Manar Amayri, Stéphane Ploix, Hussain Kazmi, Quoc-Dung Ngo, El Abed El Safadi

J. Sensors, 2019

Cloud-Based Sentiment Analysis for Interactive Agents.

Merel Keijsers, Christoph Bartneck, Hussain Kazmi

Proceedings of the 7th International Conference on Human-Agent Interaction, 2019

2017

Minimizing Grid Interaction of Solar Generation and DHW Loads in nZEBs Using Model-Free Reinforcement Learning.

Adhra Ali, Hussain Kazmi

Proceedings of the Data Analytics for Renewable Energy Integration: Informing the Generation and Distribution of Renewable Energy, 2017

Smart Home Futures: Algorithmic Challenges and Opportunities.

Hussain Kazmi, Fahad Mehmood, Manar Amayri

Proceedings of the 14th International Symposium on Pervasive Systems, 2017

2016

Demonstrating model-based reinforcement learning for energy efficiency and demand response using hot water vessels in net-zero energy buildings.

Hussain Kazmi, Simona D'Oca

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2016