Energy Demand Forecasting and Policy Development in Turkey
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Federico Divina & Miguel García Torres & Francisco A. Goméz Vela & José Luis Vázquez Noguera, 2019. "A Comparative Study of Time Series Forecasting Methods for Short Term Electric Energy Consumption Prediction in Smart Buildings," Energies, MDPI, vol. 12(10), pages 1-23, May.
- Aneeque A. Mir & Mohammed Alghassab & Kafait Ullah & Zafar A. Khan & Yuehong Lu & Muhammad Imran, 2020. "A Review of Electricity Demand Forecasting in Low and Middle Income Countries: The Demand Determinants and Horizons," Sustainability, MDPI, vol. 12(15), pages 1-35, July.
- AkpInar, Adem & Kömürcü, Murat Ihsan & Kankal, Murat & Özölçer, Ismail HakkI & Kaygusuz, Kamil, 2008. "Energy situation and renewables in Turkey and environmental effects of energy use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(8), pages 2013-2039, October.
- Carley, Sanya, 2009. "State renewable energy electricity policies: An empirical evaluation of effectiveness," Energy Policy, Elsevier, vol. 37(8), pages 3071-3081, August.
- Mat Daut, Mohammad Azhar & Hassan, Mohammad Yusri & Abdullah, Hayati & Rahman, Hasimah Abdul & Abdullah, Md Pauzi & Hussin, Faridah, 2017. "Building electrical energy consumption forecasting analysis using conventional and artificial intelligence methods: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1108-1118.
- Debnath, Kumar Biswajit & Mourshed, Monjur, 2018. "Forecasting methods in energy planning models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 297-325.
- Jie Wang & Yuqiang Li & Junfeng Mai & Minmin Yuan & Zhiqiang Liu, 2025. "Highway Typical Scenario Operation and Maintenance Energy Demand Forecasting," Sustainability, MDPI, vol. 17(5), pages 1-17, February.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Paul Anton Verwiebe & Stephan Seim & Simon Burges & Lennart Schulz & Joachim Müller-Kirchenbauer, 2021. "Modeling Energy Demand—A Systematic Literature Review," Energies, MDPI, vol. 14(23), pages 1-58, November.
- Kasım Zor & Özgür Çelik & Oğuzhan Timur & Ahmet Teke, 2020. "Short-Term Building Electrical Energy Consumption Forecasting by Employing Gene Expression Programming and GMDH Networks," Energies, MDPI, vol. 13(5), pages 1-24, March.
- Karol Bot & Samira Santos & Inoussa Laouali & Antonio Ruano & Maria da Graça Ruano, 2021. "Design of Ensemble Forecasting Models for Home Energy Management Systems," Energies, MDPI, vol. 14(22), pages 1-37, November.
- Wenting Zhao & Juanjuan Zhao & Xilong Yao & Zhixin Jin & Pan Wang, 2019. "A Novel Adaptive Intelligent Ensemble Model for Forecasting Primary Energy Demand," Energies, MDPI, vol. 12(7), pages 1-28, April.
- Zheng, Li & Abbasi, Kashif Raza & Salem, Sultan & Irfan, Muhammad & Alvarado, Rafael & Lv, Kangjuan, 2022. "How technological innovation and institutional quality affect sectoral energy consumption in Pakistan? Fresh policy insights from novel econometric approach," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
- Andrew Chapman & Timothy Fraser & Melanie Dennis, 2019. "Investigating Ties between Energy Policy and Social Equity Research: A Citation Network Analysis," Social Sciences, MDPI, vol. 8(5), pages 1-18, April.
- Kim, Serena Y., 2020. "Institutional arrangements and airport solar PV," Energy Policy, Elsevier, vol. 143(C).
- Amal A. Al-Shargabi & Abdulbasit Almhafdy & Dina M. Ibrahim & Manal Alghieth & Francisco Chiclana, 2021. "Tuning Deep Neural Networks for Predicting Energy Consumption in Arid Climate Based on Buildings Characteristics," Sustainability, MDPI, vol. 13(22), pages 1-20, November.
- Mousavi, Navid & Kothapalli, Ganesh & Habibi, Daryoush & Das, Choton K. & Baniasadi, Ali, 2020. "A novel photovoltaic-pumped hydro storage microgrid applicable to rural areas," Applied Energy, Elsevier, vol. 262(C).
- Degirmenci, Tunahan & Yavuz, Hakan, 2024. "Environmental taxes, R&D expenditures and renewable energy consumption in EU countries: Are fiscal instruments effective in the expansion of clean energy?," Energy, Elsevier, vol. 299(C).
- AkpInar, Adem & Kömürcü, Murat Ihsan & Kankal, Murat, 2011. "Development of hydropower energy in Turkey: The case of Çoruh river basin," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(2), pages 1201-1209, February.
- Jenner, Steffen & Groba, Felix & Indvik, Joe, 2013.
"Assessing the strength and effectiveness of renewable electricity feed-in tariffs in European Union countries,"
Energy Policy, Elsevier, vol. 52(C), pages 385-401.
- Felix Groba & Joe Indvik & Steffen Jenner, 2011. "Assessing the Strength and Effectiveness of Renewable Electricity Feed-in Tariffs in European Union Countries," Discussion Papers of DIW Berlin 1176, DIW Berlin, German Institute for Economic Research.
- Lynes, Melissa & Featherstone, Allen, 2015. "Economic Efficiency of Utility Plants Under Renewable Energy Policy," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205674, Agricultural and Applied Economics Association.
- Schumacher, Kim & Yang, Zhuoxiang, 2018. "The determinants of wind energy growth in the United States: Drivers and barriers to state-level development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 1-13.
- Li-chen Zhang & Zheng-ai Dong & Zhi-xiong Tan & Jia-hui Luo & De-kui Yan, 2024. "Institutional Performance and Carbon Reduction Effect of High-Quality Development of New Energy: China’s Experience and Policy Implication," Sustainability, MDPI, vol. 16(16), pages 1-26, August.
- Youhyun Lee & Inseok Seo, 2019. "Sustainability of a Policy Instrument: Rethinking the Renewable Portfolio Standard in South Korea," Sustainability, MDPI, vol. 11(11), pages 1-19, May.
- Lemay, Amélie C. & Wagner, Sigurd & Rand, Barry P., 2023. "Current status and future potential of rooftop solar adoption in the United States," Energy Policy, Elsevier, vol. 177(C).
- Tomasz Szul & Krzysztof Nęcka & Stanisław Lis, 2021. "Application of the Takagi-Sugeno Fuzzy Modeling to Forecast Energy Efficiency in Real Buildings Undergoing Thermal Improvement," Energies, MDPI, vol. 14(7), pages 1-16, March.
- Lee, Yoonjae & Ha, Byeongmin & Hwangbo, Soonho, 2022. "Generative model-based hybrid forecasting model for renewable electricity supply using long short-term memory networks: A case study of South Korea's energy transition policy," Renewable Energy, Elsevier, vol. 200(C), pages 69-87.
- Niraj Buyo & Akbar Sheikh-Akbari & Farrukh Saleem, 2025. "An Ensemble Approach to Predict a Sustainable Energy Plan for London Households," Sustainability, MDPI, vol. 17(2), pages 1-30, January.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:13:p:3301-:d:1686091. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.