Peder Bacher

Technical University of Denmark

Denmark

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Professors in Energy Engineering

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Articles (15)

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

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2022

Collaborators (17)

Henrik W. Bindner

Technical University of Denmark

DENMARK

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Henrik Madsen

Technical University of Denmark

DENMARK

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Wiebke Brix Markussen

Technical University of Denmark

DENMARK

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Michael Dahl Knudsen

Aarhus University

DENMARK

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Sergiu Spataru

Technical University of Denmark

DENMARK

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Poul Ejnar Sørensen

Senior Scientist / Professor

Technical University of Denmark

DENMARK

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Tao Huang

Technical University of Denmark

DENMARK

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Davide Cali

Technical University of Denmark

DENMARK

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Jonas Kjær Jensen

Technical University of Denmark

DENMARK

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Mikkel Lindstrøm Sørensen

Technical University of Denmark

DENMARK

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Jan Kloppenborg Møller

Technical University of Denmark

DENMARK

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Charalampos Ziras

Technical University of Denmark

DENMARK

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Wilhelm Tegethoff

Technische Universität Braunschweig

GERMANY

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Shiyu Yang

Assistant Professor

Oregon Institute of Technology

UNITED STATES

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Daniel Vázquez Pombo

Technical University of Denmark

DENMARK

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Laurent Georges

Associate Professor

Norwegian University of Science and Technology

NORWAY

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José Candanedo

Associate Professor

Université de Sherbrooke

CANADA

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Peder Bacher

Research Interests

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Articles (15)

Adaptive SARIMA modelling for continuous chamber temperature tracking in ultra-low temperature freezers

Data-driven modeling of the refrigeration load in supermarkets — A case study on three European supermarkets

A step towards digital operations—A novel grey-box approach for modelling the heat dynamics of ultra-low temperature freezing chambers

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

Estimation of evaporator valve sizes in supermarket refrigeration cabinets

Recent developments in multivariate wind and solar power forecasting

Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate

Grey box modeling of supermarket refrigeration cabinets

Labelled dataset for Ultra-Low Temperature Freezer to aid dynamic modelling & fault detection and diagnostics

Onlineforecast: An R package for adaptive and recursive forecasting

Assessing stacked physics-informed machine learning models for co-located wind–solar power forecasting

Benchmarking physics-informed machine learning-based short term PV-power forecasting tools

Increasing the Accuracy of Hourly Multi-Output Solar Power Forecast with Physics-Informed Machine Learning

Identification of non-linear autoregressive models with exogenous inputs for room air temperature modelling

Learnings from experiments with MPC for heating of older school building

Collaborators (17)

Henrik W. Bindner

Henrik Madsen

Wiebke Brix Markussen

Michael Dahl Knudsen

Sergiu Spataru

Poul Ejnar Sørensen

Tao Huang

Davide Cali

Jonas Kjær Jensen

Mikkel Lindstrøm Sørensen

Jan Kloppenborg Møller

Charalampos Ziras

Wilhelm Tegethoff

Shiyu Yang

Daniel Vázquez Pombo

Laurent Georges

José Candanedo

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