Peder Bacher

3.1k total citations · 2 hit papers
66 papers, 2.3k citations indexed

About

Peder Bacher is a scholar working on Building and Construction, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Peder Bacher has authored 66 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Building and Construction, 25 papers in Electrical and Electronic Engineering and 16 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Peder Bacher's work include Building Energy and Comfort Optimization (38 papers), Energy Load and Power Forecasting (17 papers) and Solar Radiation and Photovoltaics (13 papers). Peder Bacher is often cited by papers focused on Building Energy and Comfort Optimization (38 papers), Energy Load and Power Forecasting (17 papers) and Solar Radiation and Photovoltaics (13 papers). Peder Bacher collaborates with scholars based in Denmark, United States and Belgium. Peder Bacher's co-authors include Henrik Madsen, Henrik Aalborg Nielsen, Takahiro Shiga, Bengt Perers, Poul Ejnar Sørensen, Sergiu Spataru, Daniel Vázquez Pombo, Henrik W. Bindner, Kim Bjarne Wittchen and Rune Grønborg Junker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Sensors.

In The Last Decade

Peder Bacher

60 papers receiving 2.2k citations

Hit Papers

Online short-term solar power forecasting 2009 2026 2014 2020 2009 2011 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peder Bacher Denmark 23 1.2k 963 840 777 423 66 2.3k
Kangji Li China 20 710 0.6× 666 0.7× 545 0.6× 451 0.6× 327 0.8× 62 1.8k
Yongbao Chen China 20 1.3k 1.0× 1.0k 1.0× 219 0.3× 435 0.6× 330 0.8× 41 2.0k
Chirag Deb India 23 1.2k 0.9× 1.5k 1.6× 263 0.3× 455 0.6× 739 1.7× 39 2.4k
Kadir Amasyali United States 13 1.1k 0.9× 1.6k 1.6× 136 0.2× 435 0.6× 629 1.5× 37 2.1k
Jonathan A. Wright United Kingdom 19 292 0.2× 1.1k 1.1× 398 0.5× 310 0.4× 346 0.8× 59 2.0k
Jessica Granderson United States 22 580 0.5× 1.0k 1.0× 196 0.2× 377 0.5× 267 0.6× 79 1.8k
Chengliang Xu China 18 666 0.5× 735 0.8× 259 0.3× 222 0.3× 313 0.7× 41 1.3k
Junjing Yang Singapore 20 1.1k 0.9× 1.4k 1.5× 221 0.3× 306 0.4× 809 1.9× 28 2.4k
Ralph Evins Canada 24 1.7k 1.3× 2.1k 2.1× 137 0.2× 667 0.9× 862 2.0× 91 3.3k
Fabrice Motte France 15 1.2k 0.9× 202 0.2× 1.2k 1.4× 1.1k 1.4× 178 0.4× 18 2.2k

Countries citing papers authored by Peder Bacher

Since Specialization
Citations

This map shows the geographic impact of Peder Bacher's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peder Bacher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peder Bacher more than expected).

Fields of papers citing papers by Peder Bacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peder Bacher. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peder Bacher. The network helps show where Peder Bacher may publish in the future.

Co-authorship network of co-authors of Peder Bacher

This figure shows the co-authorship network connecting the top 25 collaborators of Peder Bacher. A scholar is included among the top collaborators of Peder Bacher based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peder Bacher. Peder Bacher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bacher, Peder, et al.. (2025). Conditional parametric ARMAX models for observed hourly heat-load dynamics in apartment buildings. Sustainable Cities and Society. 122. 106235–106235. 2 indexed citations
3.
Bacher, Peder, et al.. (2025). Data-driven energy performance certification for Danish single-family homes: a proof of concept. Journal of Physics Conference Series. 3140(2). 22036–22036.
4.
Tahavori, Maryamsadat, et al.. (2024). Asset Management Strategies for District Heating Networks. 162–166.
5.
Li, Rongling, et al.. (2023). Digital twin simulation of a Danish school building. Building Simulation Conference proceedings. 18. 1 indexed citations
6.
Sartori, Igor, Harald Taxt Walnum, Laurent Georges, et al.. (2023). Sub-hourly measurement datasets from 6 real buildings: Energy use and indoor climate. Data in Brief. 48. 109149–109149. 10 indexed citations
7.
Huang, Tao, et al.. (2023). Labelled dataset for Ultra-Low Temperature Freezer to aid dynamic modelling & fault detection and diagnostics. Scientific Data. 10(1). 888–888. 1 indexed citations
8.
Huang, Tao, Peder Bacher, Jan Kloppenborg Møller, Francesco D’Ettorre, & Wiebke Brix Markussen. (2023). A step towards digital operations—A novel grey-box approach for modelling the heat dynamics of ultra-low temperature freezing chambers. Applied Energy. 349. 121630–121630. 3 indexed citations
9.
Pombo, Daniel Vázquez, Henrik W. Bindner, Sergiu Spataru, Poul Ejnar Sørensen, & Peder Bacher. (2022). Increasing the Accuracy of Hourly Multi-Output Solar Power Forecast with Physics-Informed Machine Learning. Sensors. 22(3). 749–749. 37 indexed citations
10.
Pombo, Daniel Vázquez, Peder Bacher, Charalampos Ziras, et al.. (2022). Benchmarking physics-informed machine learning-based short term PV-power forecasting tools. Energy Reports. 8. 6512–6520. 45 indexed citations
11.
Nystrup, Peter, et al.. (2022). Recent developments in multivariate wind and solar power forecasting. Wiley Interdisciplinary Reviews Energy and Environment. 12(2). 31 indexed citations
12.
Bacher, Peder, et al.. (2022). Grey box modeling of supermarket refrigeration cabinets. Energy and AI. 11. 100211–100211. 6 indexed citations
13.
Bacher, Peder, et al.. (2020). Short-term forecasting of CO<sub>2</sub> emission intensity in power grids by machine learning. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 74 indexed citations
14.
Calı̀, Davide, et al.. (2018). A cross-disciplinary path to healthy and energy efficient buildings. Technological Forecasting and Social Change. 142. 273–284. 13 indexed citations
15.
Madsen, Henrik, et al.. (2016). Smart-Energy Operating-System - A Framework for Implementing Flexible Electric Energy Systems in Smart Cities. 1 indexed citations
16.
Bacher, Peder, et al.. (2015). Extreme value models for wind power forecast errors. EGUGA. 13916. 1 indexed citations
17.
Bacher, Peder, et al.. (2013). Setting up and validating a complex model for a simple homogeneous wall. Energy and Buildings. 70. 303–317. 26 indexed citations
18.
Bacher, Peder, Henrik Madsen, & Henrik Aalborg Nielsen. (2013). Online short-term heat load forecasting for single family houses. 5741–5746. 12 indexed citations
19.
Bacher, Peder & Henrik Madsen. (2010). Experiments and Data for Building Energy Performance Analysis: Financed by The Danish Electricity Saving Trust. 3 indexed citations
20.
Bacher, Peder, Henrik Madsen, & Henrik Aalborg Nielsen. (2009). Online short-term solar power forecasting. Solar Energy. 83(10). 1772–1783. 595 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact

Rankless by CCL
2026