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Henrik Madsen

Technical University of Denmark

Denmark

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Research Interests

Energy Engineering

100%

Climatology

30%

Thermal Engineering

50%

Heating Systems

40%

Energy Economics

40%

Distributed Energy

40%

Demand-side Management

30%

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Articles25

A Methodological Framework for Designing Dynamic Heat Price for Demand Response in District Heating

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2025

Exploring the impacts of consumer reaction to dynamic heat prices in district heating

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2025

Optimal price signal generation for demand-side energy management

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2025

An adaptive multi-seasonal ARIMA approach for domestic hot water load forecasting: A pilot study

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2025

Sequential methods for error correction of probabilistic wind power forecasts

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2025

Probabilistic ultra-short-term solar photovoltaic power forecasting using natural gradient boosting with attention-enhanced neural networks

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2025

nabqr: Python package for correcting probabilistic forecasts

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2025

Analysis of damage localization based on acoustic emission data from test of wind turbine blades

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2024

Toward smart wastewater treatment plants: a novel data-driven sludge blanket model based on stochastic differential equations

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2024

Integrating Distributed Flexibility Into TSO-DSO Coordinated Electricity Markets

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2024

Modeling and nonlinear predictive control of solar thermal systems in district heating

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2024

Probabilistic machine learning for enhanced chiller sequencing: A risk-based control strategy

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2024

Procuring flexibility in power systems with incentive-based grid access requests

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2024

Adaptive Model Predictive Controller for Building Thermal Dynamics

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2024

Localizing weather forecasts for enhanced heat load forecast accuracy in urban district heating systems

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2024

A stochastic methodology to exploit maximum flexibility of swimming pool heating systems

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2023

Can occupant behaviors affect urban energy planning? Distributed stochastic optimization for energy communities

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2023

A study on behavior of producers, retailers and speculators in futures and day-ahead markets: A Nash equilibrium model

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2023

Hierarchical learning, forecasting coherent spatio-temporal individual and aggregated building loads

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2023

Data-Driven Estimation of Time-Varying Stochastic Effects on Building Heat Consumption Related to Human Interactions

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2023

Grey-box modeling for hot-spot temperature prediction of oil-immersed transformers in power distribution networks

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2023

Intensive Data-Driven Model for Real-Time Observability in Low-Voltage Radial DSO Grids

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2023

Estimation of evaporator valve sizes in supermarket refrigeration cabinets

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2023

Recent developments in multivariate wind and solar power forecasting

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2023

Likelihood-based inference in temporal hierarchies

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2023

Collaborators18

Dominik Franjo Dominkovic

Technical University of Denmark

DENMARK

Amos Schledorn

Technical University of Denmark

DENMARK

Hans-Henrik Benzon

Technical University of Denmark

DENMARK

Davide Cali

Technical University of Denmark

DENMARK

Mikkel Lindstrøm Sørensen

Technical University of Denmark

DENMARK

Malcolm McGugan

Technical University of Denmark

DENMARK

Jan Kloppenborg Møller

Technical University of Denmark

DENMARK

Seyyed Ali Pourmousavi Kani

Senior Lecturer

University of Adelaide

AUSTRALIA

Peder Bacher

Technical University of Denmark

DENMARK

Daniela Guericke

University of Twente

NETHERLANDS

Seyed Shahabaldin Tohidi

Technical University of Denmark

DENMARK

Jan Lorenz Svensen

Technical University of Denmark

DENMARK

Xiao Chen

Technical University of Denmark

DENMARK

Reza Mokhtari

Technical University of Denmark

DENMARK

Olof Samuelsson

Professor of Electric Power Systems

Lund University Samhällsvetenskapliga fakulteten

SWEDEN

Rongling Li

Technical University of Denmark

DENMARK

Razgar Ebrahimy

Technical University of Denmark

DENMARK

Kim Branner

Technical University of Denmark

DENMARK

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