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Researcher
Hussain Syed Kazmi
- Disciplines:Modelling, Infrastructure, transport and mobility engineering, Control systems, robotics and automation, Electrical power engineering, Energy generation, conversion and storage engineering, Other engineering and technology
Affiliations
- Electrical Energy Systems and Applications (ELECTA) (Division)
Member
From1 Aug 2020 → Today - ESAT - ELECTA, Electrical Energy and Computer Architectures (Division)
Member
From1 Oct 2015 → 31 Jul 2020
Projects
1 - 9 of 9
- Towards Sustainable Transportation Solutions: Addressing Challenges in Electrifying Fleets of TrucksFrom24 Jan 2024 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Leveraging Pre-Trained Energy Models for Enhanced Forecasting and Control in Renewable Energy SystemsFrom18 Oct 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Using data science and decision support tools for autonomous operation of safety-critical electricity grid infrastructureFrom1 Sep 2023 → TodayFunding: BOF - projects
- Using data science and decision support tools for autonomous operation of safety-critical electricity grid infrastructureFrom1 Sep 2023 → TodayFunding: BOF - ZAP BOF mandates
- Data-driven models for energy systems and markets: a causal ML approachFrom8 Feb 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Facilitating the transition to green energy through the development of high impact, reproducible, and explainable data science tools.From3 Nov 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Design and Control Optimisation of PV-Battery Systems for FlexibilityFrom22 Jul 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Towards cost-optimal energy communities: realizing privacy aware and data-driven energy efficiency, flexibility and climate resilienceFrom1 Nov 2020 → 1 Sep 2023Funding: FWO junior postdoctoral fellowship
- Data-driven Modelling and Control of Energy Flexible Residential LoadsFrom14 Sep 2015 → 2 Jul 2019Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 35
- Interpretable domain-informed and domain-agnostic features for supervised and unsupervised learning on building energy demand data(2024)
Authors: Ada Canaydin, Hussain Syed Kazmi
- Developing energy flexibility in clusters of buildings: A critical analysis of barriers from planning to operation(2023)
Authors: Alessia Arteconi, Hussain Syed Kazmi, Muhammad Hafeez Saeed
- The Building Data Genome Directory – An open, comprehensive data sharing platform for building performance research(2023)
Authors: Hussain Syed Kazmi, Ada Canaydin
- Using Domain-Augmented Federated Learning to Model Thermostatically Controlled Loads(2023)
Authors: Johan Driesen, Hussain Syed Kazmi
Pages: 4116 - 4124 - Ten questions concerning data-driven modelling and forecasting of operational energy demand at building and urban scale(2023)
Authors: Hussain Syed Kazmi
- Enhancing Classification of Energy Meters with Limited Labels using a Semi-Supervised Generative Model(2023)
Authors: Hussain Syed Kazmi
Pages: 450 - 453Number of pages: 4 - Physics-informed model-based reinforcement learning (PI-MBRL) to control building heating systems in low training data regimes(2023)
Authors: Muhammad Hafeez Saeed, Hussain Syed Kazmi, Geert Deconinck
Pages: 300 - 302Number of pages: 3 - On the causality of data-driven building thermal models(2023)
Authors: Johan Driesen, Hussain Syed Kazmi
Pages: 454 - 457Number of pages: 4 - Modelling electricity demand in Karachi: historical trends, determinants, and future scenarios(2023)
Authors: Hussain Syed Kazmi
Number of pages: 5 - Bottom-up quantification of energy flexibility in cluster of residential heat pump systems(2022)
Authors: Muhammad Hafeez Saeed, Hussain Syed Kazmi, Geert Deconinck
Number of pages: 5