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 (ISGT Europe, 2016)

Minimizing Grid Interaction of Solar Generation and DHW Loads in nZEBs Using Model-Free Reinforcement Learning. - Adhra Ali; Hussain Kazmi (DARE@PKDD/ECML, 2017)

Data-driven Decision-Making Methodology for Prognostic and Health Management of Wind Turbines. - Khaoula Tidriri; Ahmad Braydi; Hussain Kazmi (ANZCC, 2021)

Teaching machine learning through end-to-end decision making. - Hussain Kazmi (Teaching ML, 2021)

Is your forecaster smarter than an energy engineer: a deep dive into electricity price forecasting. - Maria Margarida Mascarenhas; Hussain Kazmi (CoRR, 2022)

The Forecastability of Underlying Building Electricity Demand from Time Series Data. - Mohamad Khalil; A. Stephen McGough; Hussain Kazmi; Sara Walker (IEEE Big Data, 2023)

Using domain-augmented federated learning to model thermostatically controlled loads. - Attila Balint; Haroon Raja; Johan Driesen; Hussain Kazmi (ISGT EUROPE, 2023)

On the causality of data-driven building thermal models. - Fuyang Jiang; Johan Driesen; Hussain Kazmi (BuildSys, 2023)

On the contribution of pre-trained models to accuracy and utility in modeling distributed energy resources. - Hussain Kazmi; Pierre Pinson (CoRR, 2023)

Causal data-driven modelling of overheating risk in high efficiency residential buildings. - Fuyang Jiang; Hussain Kazmi (BuildSys, 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 (e-Energy, 2024)

EnFoBench: A community-driven energy forecasting benchmark. - Attila Balint; Chun Fu; Johan Driesen; Hussain Kazmi (ISGT EUROPE, 2024)

Feature-based identification of distributed energy resources in buildings from aggregated smart meter data. - Ada Canaydin; Joris Depoortere; Hussain Kazmi (ISGT EUROPE, 2024)

Global forecast models for the Belgian combined heat and power plant stock. - Joris Depoortere; Xavier Weiss; Johan Driesen; Lars Nordström; Hussain Kazmi (ISGT EUROPE, 2024)

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, 2025)