Martin T. Klein

Personal Details

First Name:	Martin
Middle Name:	T.
Last Name:	Klein
Suffix:
RePEc Short-ID:	pkl156
	[This author has chosen not to make the email address public]
	https://www.martinklein.co/

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Martin Klein & Marc Deissenroth, 2018. "When Do Households Invest in Solar Photovoltaics? An Application of Prospect Theory," Papers 1808.05572, arXiv.org.
   • Klein, Martin & Deissenroth, Marc, 2017. "When do households invest in solar photovoltaics? An application of prospect theory," Energy Policy, Elsevier, vol. 109(C), pages 270-278.

   Cited by:

   1. Simshauser, P. & Nelson, T. & Gilmore, J., 2023. "The sunshine state: implications from mass rooftop solar PV take-up rates in Queensland," Cambridge Working Papers in Economics 2305, Faculty of Economics, University of Cambridge.
      • Paul Simshauser & Tim Nelson & Joel Gilmore, 2022. "The sunshine state: implications from mass rooftop solar PV take-up rates in Queensland," Working Papers EPRG2219, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
   2. Say, Kelvin & John, Michele, 2021. "Molehills into mountains: Transitional pressures from household PV-battery adoption under flat retail and feed-in tariffs," Energy Policy, Elsevier, vol. 152(C).
   3. Say, Kelvin & John, Michele & Dargaville, Roger & Wills, Raymond T., 2018. "The coming disruption: The movement towards the customer renewable energy transition," Energy Policy, Elsevier, vol. 123(C), pages 737-748.
   4. Stefan Lamp, 2023. "Sunspots That Matter: The Effect of Weather on Solar Technology Adoption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 1179-1219, April.
      • Lamp, Stefan, 2018. "Sunspots that matter: the effect of weather on solar technology adoption," TSE Working Papers 18-879, Toulouse School of Economics (TSE).
   5. Tao, Zhenmin & Moncada, Jorge Andres & Delarue, Erik, 2023. "Exploring the impact of boundedly rational power plant investment decision-making by applying prospect theory," Utilities Policy, Elsevier, vol. 82(C).
   6. Marlene O’Sullivan, 2020. "Industrial life cycle: relevance of national markets in the development of new industries for energy technologies – the case of wind energy," Journal of Evolutionary Economics, Springer, vol. 30(4), pages 1063-1107, September.
   7. Wu, Yunna & Xu, Chuanbo & Zhang, Ting, 2018. "Evaluation of renewable power sources using a fuzzy MCDM based on cumulative prospect theory: A case in China," Energy, Elsevier, vol. 147(C), pages 1227-1239.
   8. Nan Li & Haining Zhang & Xiangcheng Zhang & Xue Ma & Sen Guo, 2020. "How to Select the Optimal Electrochemical Energy Storage Planning Program? A Hybrid MCDM Method," Energies, MDPI, vol. 13(4), pages 1-20, February.
   9. Marlene O’Sullivan & Dietmar Edler, 2020. "Gross Employment Effects in the Renewable Energy Industry in Germany—An Input–Output Analysis from 2000 to 2018," Sustainability, MDPI, vol. 12(15), pages 1-21, July.
   10. Romano, Teresa & Fumagalli, Elena, 2018. "Greening the power generation sector: Understanding the role of uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 272-286.
   11. Patrycjusz Zarębski & Dominik Katarzyński, 2023. "Small Modular Reactors (SMRs) as a Solution for Renewable Energy Gaps: Spatial Analysis for Polish Strategy," Energies, MDPI, vol. 16(18), pages 1-23, September.
   12. Leila Aghlimoghadam & Sadegh Salehi & Hans-Liudger Dienel, 2022. "A Contribution to Social Acceptance of PV in an Oil-Rich Country: Reflections on Governmental Organisations in Iran," Sustainability, MDPI, vol. 14(20), pages 1-23, October.
   13. O'Sullivan, Marlene & Edler, Dietmar, 2020. "Gross Employment Effects in the Renewable Energy Industry in Germany : An Input–Output Analysis from 2000 to 2018," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 12(15).
   14. Van Opstal, Wim & Smeets, Anse, 2023. "When do circular business models resolve barriers to residential solar PV adoption? Evidence from survey data in flanders," Energy Policy, Elsevier, vol. 182(C).
   15. Candas, Soner & Siala, Kais & Hamacher, Thomas, 2019. "Sociodynamic modeling of small-scale PV adoption and insights on future expansion without feed-in tariffs," Energy Policy, Elsevier, vol. 125(C), pages 521-536.
   16. Töppel, Jannick & Tränkler, Timm, 2019. "Modeling energy efficiency insurances and energy performance contracts for a quantitative comparison of risk mitigation potential," Energy Economics, Elsevier, vol. 80(C), pages 842-859.
   17. Amir Ali Safaei Pirooz & Mohammad J. Sanjari & Young-Jin Kim & Stuart Moore & Richard Turner & Wayne W. Weaver & Dipti Srinivasan & Josep M. Guerrero & Mohammad Shahidehpour, 2023. "Adaptation of High Spatio-Temporal Resolution Weather/Load Forecast in Real-World Distributed Energy-System Operation," Energies, MDPI, vol. 16(8), pages 1-16, April.
   18. Say, Kelvin & John, Michele & Dargaville, Roger, 2019. "Power to the people: Evolutionary market pressures from residential PV battery investments in Australia," Energy Policy, Elsevier, vol. 134(C).
   19. Haoran Zhao & Sen Guo & Huiru Zhao, 2018. "Selecting the Optimal Micro-Grid Planning Program Using a Novel Multi-Criteria Decision Making Model Based on Grey Cumulative Prospect Theory," Energies, MDPI, vol. 11(7), pages 1-24, July.
   20. Wichsinee Wibulpolprasert & Umnouy Ponsukcharoen & Siripha Junlakarn & Sopitsuda Tongsopit, 2021. "Preliminarily Screening Geographical Hotspots for New Rooftop PV Installation: A Case Study in Thailand," Energies, MDPI, vol. 14(11), pages 1-30, June.
   21. Aldona Kluczek & Patrycja Żegleń & Daniela Matušíková, 2021. "The Use of Prospect Theory for Energy Sustainable Industry 4.0," Energies, MDPI, vol. 14(22), pages 1-29, November.
   22. Wiese, Frauke & Schlecht, Ingmar & Bunke, Wolf-Dieter & Gerbaulet, Clemens & Hirth, Lion & Jahn, Martin & Kunz, Friedrich & Lorenz, Casimir & Mühlenpfordt, Jonathan & Reimann, Juliane & Schill, Wolf-P, 2019. "Open Power System Data – Frictionless data for electricity system modelling," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 236, pages 401-409.
       • Wiese, Frauke & Schlecht, Ingmar & Bunke, Wolf-Dieter & Gerbaulet, Clemens & Hirth, Lion & Jahn, Martin & Kunz, Friedrich & Lorenz, Casimir & Mühlenpfordt, Jonathan & Reimann, Juliane & Schill, Wolf-P, 2019. "Open Power System Data – Frictionless data for electricity system modelling," Applied Energy, Elsevier, vol. 236(C), pages 401-409.
   23. Gaofeng Gu & Xiaofeng Pan, 2023. "A Study on the Interdependence in Sustainable Mobility Tools and Home Energy Equipment Choices," Energies, MDPI, vol. 16(3), pages 1-16, January.
   24. Esplin, Ryan & Nelson, Tim, 2022. "Redirecting solar feed in tariffs to residential battery storage: Would it be worth it?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 373-389.
   25. Paweł Kut & Katarzyna Pietrucha-Urbanik & Barbara Tchórzewska-Cieślak, 2021. "Reliability-Oriented Design of a Solar-PV Deployments," Energies, MDPI, vol. 14(20), pages 1-14, October.
   26. Arnold, Fabian & Jeddi, Samir & Sitzmann, Amelie, 2022. "How prices guide investment decisions under net purchasing — An empirical analysis on the impact of network tariffs on residential PV," Energy Economics, Elsevier, vol. 112(C).
   27. Jan Paul Baginski & Christoph Weber, "undated". "Coherent estimations for residential photovoltaic uptake in Germany including spatial spillover effects," EWL Working Papers 1902, University of Duisburg-Essen, Chair for Management Science and Energy Economics.

Articles

1. Ulrich J. Frey & Martin Klein & Kristina Nienhaus & Christoph Schimeczek, 2020. "Self-Reinforcing Electricity Price Dynamics under the Variable Market Premium Scheme," Energies, MDPI, vol. 13(20), pages 1-19, October.

   Cited by:

   1. Jimenez, I. Sanchez & Ribó-Pérez, D. & Cvetkovic, M. & Kochems, J. & Schimeczek, C. & de Vries, L.J., 2024. "Can an energy only market enable resource adequacy in a decarbonized power system? A co-simulation with two agent-based-models," Applied Energy, Elsevier, vol. 360(C).

2. Klein, Martin & Ziade, Ahmad & de Vries, Laurens, 2019. "Aligning prosumers with the electricity wholesale market – The impact of time-varying price signals and fixed network charges on solar self-consumption," Energy Policy, Elsevier, vol. 134(C).

   Cited by:

   1. Alberto Fichera & Alessandro Pluchino & Rosaria Volpe, 2020. "Modelling Energy Distribution in Residential Areas: A Case Study Including Energy Storage Systems in Catania, Southern Italy," Energies, MDPI, vol. 13(14), pages 1-21, July.
   2. Say, Kelvin & Schill, Wolf-Peter & John, Michele, 2020. "Degrees of displacement: The impact of household PV battery prosumage on utility generation and storage," Applied Energy, Elsevier, vol. 276(C).
      • Kelvin Say & Wolf-Peter Schill & Michele John, 2020. "Degrees of displacement: The impact of household PV battery prosumage on utility generation and storage," Papers 2003.06987, arXiv.org.
   3. Ying, Zhou & Xin-gang, Zhao & Zhen, Wang, 2020. "Demand side incentive under renewable portfolio standards: A system dynamics analysis," Energy Policy, Elsevier, vol. 144(C).
   4. Seyedfarzad Sarfarazi & Marc Deissenroth-Uhrig & Valentin Bertsch, 2020. "Aggregation of Households in Community Energy Systems: An Analysis from Actors’ and Market Perspectives," Energies, MDPI, vol. 13(19), pages 1-37, October.
   5. Henni, Sarah & Staudt, Philipp & Weinhardt, Christof, 2021. "A sharing economy for residential communities with PV-coupled battery storage: Benefits, pricing and participant matching," Applied Energy, Elsevier, vol. 301(C).
   6. Jiang, Hou & Zhang, Xiaotong & Yao, Ling & Lu, Ning & Qin, Jun & Liu, Tang & Zhou, Chenghu, 2023. "High-resolution analysis of rooftop photovoltaic potential based on hourly generation simulations and load profiles," Applied Energy, Elsevier, vol. 348(C).
   7. Aniello, Gianmarco & Bertsch, Valentin, 2023. "Shaping the energy transition in the residential sector: Regulatory incentives for aligning household and system perspectives," Applied Energy, Elsevier, vol. 333(C).
   8. Yamamoto, Yoshihiro, 2021. "A bidirectional payment system for mitigating the supply–demand imbalance among prosumers based on the core of coalitional game theory under the enhanced use of renewable energy," Energy Economics, Elsevier, vol. 96(C).
   9. Fouad El Gohary & Sofie Nyström & Lizette Reitsma & Cajsa Bartusch, 2021. "Identifying Challenges in Engaging Users to Increase Self-Consumption of Electricity in Microgrids," Energies, MDPI, vol. 14(5), pages 1-27, February.

3. Martin Klein & Ulrich J. Frey & Matthias Reeg, 2019. "Models Within Models – Agent-Based Modelling and Simulation in Energy Systems Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(4), pages 1-6.

   Cited by:

   1. Glismann, Samuel, 2021. "Ancillary Services Acquisition Model: Considering market interactions in policy design," Applied Energy, Elsevier, vol. 304(C).
   2. Abba, Z.Y.I. & Balta-Ozkan, N. & Hart, P., 2022. "A holistic risk management framework for renewable energy investments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
   3. Jimenez, I. Sanchez & Ribó-Pérez, D. & Cvetkovic, M. & Kochems, J. & Schimeczek, C. & de Vries, L.J., 2024. "Can an energy only market enable resource adequacy in a decarbonized power system? A co-simulation with two agent-based-models," Applied Energy, Elsevier, vol. 360(C).
   4. Amir Ali Safaei Pirooz & Mohammad J. Sanjari & Young-Jin Kim & Stuart Moore & Richard Turner & Wayne W. Weaver & Dipti Srinivasan & Josep M. Guerrero & Mohammad Shahidehpour, 2023. "Adaptation of High Spatio-Temporal Resolution Weather/Load Forecast in Real-World Distributed Energy-System Operation," Energies, MDPI, vol. 16(8), pages 1-16, April.
   5. Ulrich J. Frey & Martin Klein & Kristina Nienhaus & Christoph Schimeczek, 2020. "Self-Reinforcing Electricity Price Dynamics under the Variable Market Premium Scheme," Energies, MDPI, vol. 13(20), pages 1-19, October.
   6. Georg Holtz & Christian Schnülle & Malcolm Yadack & Jonas Friege & Thorben Jensen & Pablo Thier & Peter Viebahn & Émile J. L. Chappin, 2020. "Using Agent-Based Models to Generate Transformation Knowledge for the German Energiewende—Potentials and Challenges Derived from Four Case Studies," Energies, MDPI, vol. 13(22), pages 1-26, November.

4. Klein, Martin & Deissenroth, Marc, 2017. "When do households invest in solar photovoltaics? An application of prospect theory," Energy Policy, Elsevier, vol. 109(C), pages 270-278.
   • Martin Klein & Marc Deissenroth, 2018. "When Do Households Invest in Solar Photovoltaics? An Application of Prospect Theory," Papers 1808.05572, arXiv.org.
   See citations under working paper version above.
5. Marc Deissenroth & Martin Klein & Kristina Nienhaus & Matthias Reeg, 2017. "Assessing the Plurality of Actors and Policy Interactions: Agent-Based Modelling of Renewable Energy Market Integration," Complexity, Hindawi, vol. 2017, pages 1-24, December.

   Cited by:

   1. Nitsch, Felix & Deissenroth-Uhrig, Marc & Schimeczek, Christoph & Bertsch, Valentin, 2021. "Economic evaluation of battery storage systems bidding on day-ahead and automatic frequency restoration reserves markets," Applied Energy, Elsevier, vol. 298(C).
   2. Mason, Karl & Qadrdan, Meysam & Jenkins, Nicholas, 2021. "Investing in generation and storage capacity in a liberalised electricity market: An agent based approach," Applied Energy, Elsevier, vol. 294(C).
   3. Chun Wei & Xiangzhi Xu & Youbing Zhang & Xiangshan Li, 2019. "A Survey on Optimal Control and Operation of Integrated Energy Systems," Complexity, Hindawi, vol. 2019, pages 1-14, December.
   4. Kyungjin Yoo & Seth Blumsack, 2018. "The Political Complexity of Regional Electricity Policy Formation," Complexity, Hindawi, vol. 2018, pages 1-18, December.
   5. Li, Pei-Hao & Barazza, Elsa & Strachan, Neil, 2022. "The influences of non-optimal investments on the scale-up of smart local energy systems in the UK electricity market," Energy Policy, Elsevier, vol. 170(C).
   6. Anwar, Muhammad Bashar & Stephen, Gord & Dalvi, Sourabh & Frew, Bethany & Ericson, Sean & Brown, Maxwell & O’Malley, Mark, 2022. "Modeling investment decisions from heterogeneous firms under imperfect information and risk in wholesale electricity markets," Applied Energy, Elsevier, vol. 306(PA).
   7. Amir Ali Safaei Pirooz & Mohammad J. Sanjari & Young-Jin Kim & Stuart Moore & Richard Turner & Wayne W. Weaver & Dipti Srinivasan & Josep M. Guerrero & Mohammad Shahidehpour, 2023. "Adaptation of High Spatio-Temporal Resolution Weather/Load Forecast in Real-World Distributed Energy-System Operation," Energies, MDPI, vol. 16(8), pages 1-16, April.
   8. Laura Torralba-Díaz & Christoph Schimeczek & Matthias Reeg & Georgios Savvidis & Marc Deissenroth-Uhrig & Felix Guthoff & Benjamin Fleischer & Kai Hufendiek, 2020. "Identification of the Efficiency Gap by Coupling a Fundamental Electricity Market Model and an Agent-Based Simulation Model," Energies, MDPI, vol. 13(15), pages 1-19, July.
   9. Maciej Ławryńczuk, 2018. "Towards Reduced-Order Models of Solid Oxide Fuel Cell," Complexity, Hindawi, vol. 2018, pages 1-18, July.
   10. Barazza, Elsa & Strachan, Neil, 2020. "The impact of heterogeneous market players with bounded-rationality on the electricity sector low-carbon transition," Energy Policy, Elsevier, vol. 138(C).
   11. Rémi Delage & Toshihiko Nakata, 2022. "Multivariate Empirical Mode Decomposition and Recurrence Quantification for the Multiscale, Spatiotemporal Analysis of Electricity Demand—A Case Study of Japan," Energies, MDPI, vol. 15(17), pages 1-17, August.
   12. Fraunholz, Christoph & Kraft, Emil & Keles, Dogan & Fichtner, Wolf, 2021. "Advanced price forecasting in agent-based electricity market simulation," Applied Energy, Elsevier, vol. 290(C).
   13. Ulrich J. Frey & Martin Klein & Kristina Nienhaus & Christoph Schimeczek, 2020. "Self-Reinforcing Electricity Price Dynamics under the Variable Market Premium Scheme," Energies, MDPI, vol. 13(20), pages 1-19, October.
   14. Sergio Velázquez Medina & José A. Carta & Ulises Portero Ajenjo, 2019. "Performance Sensitivity of a Wind Farm Power Curve Model to Different Signals of the Input Layer of ANNs: Case Studies in the Canary Islands," Complexity, Hindawi, vol. 2019, pages 1-11, March.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-ENE: Energy Economics (1) 2018-09-03. Author is listed
2. NEP-UPT: Utility Models and Prospect Theory (1) 2018-09-03. Author is listed

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Martin T. Klein should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.