Research identity
The research profile centers on building energy flexibility, demand response, load analytics, and the role of public buildings in future smart energy systems.
About
Data-driven building energy research with a focus on flexibility.
Abdullah Jamal is a PhD candidate at Østfold University College in Norway working on data-driven building energy analysis, energy flexibility, and demand response in buildings. His research focuses on how smart meter data, weather information, and statistical or computational methods can be used to understand energy demand patterns, estimate heating-related loads, and quantify flexibility potential in public buildings.
His broader interests include smart buildings, electric heating flexibility, energy communities, renewable energy integration, virtual power plants, energy management, and reproducible analytical tools for building energy research.
building energy flexibilitydemand responsesmart meter dataheating demand estimationelectric heating flexibilityenergy management in buildingspublic buildingsreproducible energy analytics
Technical profile
The work uses Python, R, time-series analysis, smart meter analytics, weather-normalized modelling, data visualization, and reproducible workflows.
Academic context
The doctoral work is connected to building energy systems, electric heating demand, public buildings, and applied energy analysis in Norway.
Work style
What I work on
What I work on
My work investigates smart meter data, space heating load estimation, non-space-heating load interpretation, weather-augmented energy analysis, and methods for quantifying energy flexibility in buildings.
How I work
I aim to keep assumptions visible, connect analysis choices to physical building behavior, and communicate methods in a way that supports review by researchers, engineers, and project partners.
Open and reproducible research
The site is structured to support open science practices: code links, datasets, Zenodo records, BibTeX, and publication metadata can be added as research outputs become public.
building energy flexibilitydemand responseenergy flexibility in buildingsbuilding energy analysisdata-driven building energy analysissmart meter analyticssmart meter dataload disaggregationspace heating loadnon-space-heating loadheating demand estimationweather-augmented energy analysisweather-normalized energy analysiselectric heating flexibilityenergy auditenergy management in buildingspublic buildingssmart buildings