Tim Moritz Höfer
Lehrstuhl für Wirtschaftswissenschaften, insb. Energieökonomik
- Regional Econometrics
- Implementation of Decision Support Systems
- Energy Economics
Tim Höfer studied Business Administration and Civil Engineering at RWTH Aachen University and graduated with a Master of Science (M.Sc. RWTH). He joined FCN in September 2015 as a research assistant and PhD student.
|Journal Articles (full scholarly peer-review)
Höfer T., Sunak Y., Siddique H., Madlener R. (2016). Wind Farm Siting Using a Spatial Analytic Hierarchy Process Approach: A Case Study of the Städteregion Aachen, Applied Energy, 163(February): 222-243. [ScienceDirect]
|Höfer T., Madlener R. (2018). Locational (In-)Efficiency of Renewable Power Generation Feeding in the Electricity Grid: A Spatial Regression Analysis, FCN Working Paper No. 13/2018, Institute for Future Energy Consumer Needs and Behavior, RWTH Aachen University, October. [SSRN]
|Contributions to Conferences and Workshops
|Höfer T., Madlener R. (2018) Locational (In-)efficiency of renewable power generation in the distribution grid: a spatial regression analysis, 12th International Conference on Energy Economics and Technology (
), April 27, 2018, Dresden, Germany.
|Höfer T., Madlener R. (2018). Locational (In-)Efficiency of Renewable Power Generation in the Distribution Grid: a Spatial Regression Analysis, 41st IAEE International Conference, June 10-13, 2018, Groningen, The Netherlands.
|Höfer T., von Nitzsch R., Madlener R. (2018). Using Value-Focused Thinking and Multi-Criteria Group Decision Making to Establish a Valuation System for the Energy Transition, 29th European Conference on Operational Research (
EURO 2018), July 8-11, 2018, Valencia, Spain.
|Höfer T., Sunak Y., Siddique H., Madlener R. (2015). Wind Farm Siting Using a Spatial Analytic Hierarchy Process Approach: A Case Study of the Städteregion Aachen. 27th European Conference on Operation Research, University of Strathclyde, July 12-15, 2015, Glasgow, UK.
|Sunak Y., Höfer T., Siddique H., Madlener R., De Doncker R.W. (2015). A GIS-Based Decision Support System for the Optimal Siting of Wind Farm Projects, E.ON Energy Research Center Series, Vol. 7, Issue 2, June (ISSN: 1868-7415). [Download]