Building Energy Flexibility
Analysis of how public buildings can provide temporal flexibility through electric heating, operational adjustment, and data-informed energy management.
energy flexibility in buildingsflexible electricity demand
Building energy flexibility research
Abdullah Jamal
PhD Candidate in Building Energy Flexibility, Demand Response & Data-Driven Energy Analysis for Buildings
Østfold University College, Norway
I work on data-driven methods for understanding, estimating, and quantifying building energy demand and flexibility, with a focus on public buildings, smart meter data, electric heating, and demand response.
Data-driven research on building energy flexibility, demand response, and smart meter analytics for more flexible, efficient, and grid-aware buildings.
smart meter data Hourly demand signals Load patterns for public buildings and energy demand interpretation.
heating load Weather-sensitive demand Heating estimation with temperature and multivariate weather
features.
flexibility Flexible electricity demand Quantifying electric heating flexibility for grid-supportive
operation.
demand response Buildings as resources Energy communities, renewable integration, and virtual power plants.
Research focus
A focused research platform for flexible buildings
The site organizes Abdullah Jamal's academic profile around visible, search-friendly research areas while keeping the writing precise and editable.
Demand Response in Buildings
Research on demand response potential, grid-aware operation, and methods for evaluating when building loads can support electricity systems.
demand responsegrid-supportive operation
Smart Meter & Load Analytics
Data-driven building energy analysis using hourly smart meter data, load disaggregation, demand interpretation, and reproducible analytics workflows.
smart meter analyticsload disaggregation
Energy Communities & Virtual Power Plants
Exploration of buildings as flexible energy resources within energy communities, distributed energy systems, and renewable energy integration.
virtual power plantsenergy communities
Current direction
Data-driven analysis of buildings as flexible energy resources
My doctoral work investigates how smart meter data, public building characteristics, weather-augmented analysis, and heating demand estimation can support a clearer understanding of electric heating flexibility and demand response potential.
The work is positioned at the intersection of building energy analytics, renewable energy integration, energy communities, and buildings as flexible energy resources. It emphasizes careful estimation, transparent assumptions, and methods that can be reviewed, reproduced, and adapted.
Methods and tools
PythonRtime-series analysisbuilding energy analyticssmart meter dataload disaggregationweather-normalized modellingflexibility quantificationenergy demand estimationdata visualizationopen sciencereproducible research
Research ecosystem
Selected links
Profile, code, research output, and CV links are centralized so the website remains easy to maintain from GitHub. Placeholder links are visible until verified public profiles are added.
Publications
Selected research outputs
Placeholder entries are intentionally marked as TODO until exact publication metadata, DOIs, datasets, and code links are available.
TODO TODO
TODO: Load disaggregation of hourly smart meter data in public buildings
Abdullah Jamal et al. TODO: verify author list
TODO: add journal, conference, preprint server, or thesis context
Placeholder publication record for research on separating space heating and non-space-heating electricity demand from hourly smart meter data in public buildings.
smart meter analyticsload disaggregationpublic buildings
BibTeX placeholder
@misc{jamal_load_disaggregation_todo,
title = {TODO: Load disaggregation of hourly smart meter data in public buildings},
author = {Jamal, Abdullah and TODO},
year = {TODO},
note = {Placeholder record. Replace before publishing.}
}
TODO TODO
TODO: Multivariate weather-augmented framework for improving heating demand estimation
Abdullah Jamal et al. TODO: verify author list
TODO: add journal, conference, preprint server, or thesis context
Placeholder publication record for work on using outdoor temperature and additional weather features to improve heating demand estimation in buildings.
heating demand estimationweather-augmented energy analysisweather-normalized modelling
BibTeX placeholder
@misc{jamal_weather_augmented_heating_todo,
title = {TODO: Multivariate weather-augmented framework for improving heating demand estimation},
author = {Jamal, Abdullah and TODO},
year = {TODO},
note = {Placeholder record. Replace before publishing.}
}
TODO TODO
TODO: Quantifying electric heating flexibility of public buildings
Abdullah Jamal et al. TODO: verify author list
TODO: add journal, conference, preprint server, or thesis context
Placeholder publication record for research on estimating temporal flexibility from electric heating loads and assessing demand response potential.
electric heating flexibilitydemand responseflexible electricity demand
BibTeX placeholder
@misc{jamal_electric_heating_flexibility_todo,
title = {TODO: Quantifying electric heating flexibility of public buildings},
author = {Jamal, Abdullah and TODO},
year = {TODO},
note = {Placeholder record. Replace before publishing.}
}
Contact
Research collaboration and project discussions
For research collaboration, project discussions, supervision-related inquiries, building energy analytics, demand response, or energy flexibility topics, please get in touch.