Research
My doctoral research is positioned at the intersection of building energy analytics, smart meter data, heating demand estimation, and demand response. The work focuses on how public buildings can be analyzed and operated as flexible energy resources, especially where electric heating, weather sensitivity, and renewable energy integration are important.
Research on hourly smart meter data, separating space heating and non-space-heating electricity demand, and interpreting energy demand patterns in public buildings. The aim is to support data-driven building energy analysis with transparent methods that can help explain how buildings use electricity over time.
Work on weather-normalized analysis, multivariate weather features, heating demand estimation, outdoor temperature sensitivity, and robust energy analysis methods. This direction investigates how weather information can improve estimation accuracy and make heating-related demand easier to compare across time periods.
Analysis of flexible electricity demand from electric heating loads in public buildings, with attention to temporal flexibility, demand response potential, and grid-supportive operation. The work contributes to methods for estimating when and how building loads may be adjusted without overstating what the data can show.
Research interests include buildings as virtual power plants, flexibility exchange between buildings, energy communities, renewable energy integration, and distributed energy systems. This connects building-level analysis to future smart energy systems where buildings can contribute flexible capacity.
Editable project areas
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Editable project placeholder for work on separating space heating and non-space-heating electricity demand from smart meter data in public buildings.
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Editable project placeholder for weather-normalized models that estimate heating-related demand using outdoor temperature and multivariate weather features.
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Editable project placeholder for quantifying flexible electricity demand from electric heating loads and evaluating demand response potential.
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Editable project placeholder for research on flexible operation, energy communities, renewable energy integration, and distributed energy systems.
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Editable project placeholder for reproducible Python and R workflows for data-driven building energy analysis, visualization, and energy management studies.
Research keywords
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