The Role of Biogas Potential in Building the Energy Independence of the Three Seas Initiative Countries
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Michał Bernard Pietrzak & Magdalena Olczyk & Marta Ewa Kuc-Czarnecka, 2022. "Assessment of the Feasibility of Energy Transformation Processes in European Union Member States," Energies, MDPI, vol. 15(2), pages 1-23, January.
- Katarzyna Ignatowicz & Gabriel Filipczak & Barbara Dybek & Grzegorz Wałowski, 2023. "Biogas Production Depending on the Substrate Used: A Review and Evaluation Study—European Examples," Energies, MDPI, vol. 16(2), pages 1-17, January.
- Jan Martin Zepter & Jan Engelhardt & Tatiana Gabderakhmanova & Mattia Marinelli, 2021. "Empirical Validation of a Biogas Plant Simulation Model and Analysis of Biogas Upgrading Potentials," Energies, MDPI, vol. 14(9), pages 1-19, April.
- Tomislav Gelo & Nika Šimurina & Jurica Šimurina, 2021. "The Economic Impact of Investment in Renewables in Croatia by 2030," Energies, MDPI, vol. 14(24), pages 1-10, December.
- Chang, Yoosoon & Choi, Yongok & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y., 2021.
"Forecasting regional long-run energy demand: A functional coefficient panel approach,"
Energy Economics, Elsevier, vol. 96(C).
- Yoosoon Chang & Yongok Choi & Chang Sik Kim & J. Isaac Miller & Joon Y. Park, 2019. "Forecasting Regional Long-Run Energy Demand: A Functional Coefficient Panel Approach," Working Papers 1915, Department of Economics, University of Missouri.
- Ediger, Volkan S. & Akar, Sertac, 2007. "ARIMA forecasting of primary energy demand by fuel in Turkey," Energy Policy, Elsevier, vol. 35(3), pages 1701-1708, March.
- Mohsen Salimi & Majid Amidpour, 2022. "The Impact of Energy Transition on the Geopolitical Importance of Oil-Exporting Countries," World, MDPI, vol. 3(3), pages 1-12, August.
- Elie, Luc & Granier, Caroline & Rigot, Sandra, 2021. "The different types of renewable energy finance: A Bibliometric analysis," Energy Economics, Elsevier, vol. 93(C).
- Tomaž Levstek & Črtomir Rozman, 2022. "A Model for Finding a Suitable Location for a Micro Biogas Plant Using Gis Tools," Energies, MDPI, vol. 15(20), pages 1-21, October.
- Zell-Ziegler, Carina & Thema, Johannes & Best, Benjamin & Wiese, Frauke & Lage, Jonas & Schmidt, Annika & Toulouse, Edouard & Stagl, Sigrid, 2021. "Enough? The role of sufficiency in European energy and climate plans," Energy Policy, Elsevier, vol. 157(C).
- Ştefan Dragoş Cîrstea & Claudia Steluţa Martiş & Andreea Cîrstea & Anca Constantinescu-Dobra & Melinda Timea Fülöp, 2018. "Current Situation and Future Perspectives of the Romanian Renewable Energy," Energies, MDPI, vol. 11(12), pages 1-22, November.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Beata Piotrowska & Daniel Słyś, 2023. "Analysis of the Life Cycle Cost of a Heat Recovery System from Greywater Using a Vertical “Tube-in-Tube” Heat Exchanger: Case Study of Poland," Resources, MDPI, vol. 12(9), pages 1-17, August.
- Oliveira, Helena Rodrigues & Kozlowsky-Suzuki, Betina & Björn, Annika & Shakeri Yekta, Sepehr & Caetano, Cristiane Fonseca & Pinheiro, Érika Flávia Machado & Marotta, Humberto & Bassin, João Paulo & O, 2024. "Biogas potential of biowaste: A case study in the state of Rio de Janeiro, Brazil," Renewable Energy, Elsevier, vol. 221(C).
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.- Daniya Tlegenova, 2015. "Forecasting Exchange Rates Using Time Series Analysis: The sample of the currency of Kazakhstan," Papers 1508.07534, arXiv.org.
- Pin Li & Jinsuo Zhang, 2019. "Is China’s Energy Supply Sustainable? New Research Model Based on the Exponential Smoothing and GM(1,1) Methods," Energies, MDPI, vol. 12(2), pages 1-30, January.
- Reham Alhindawi & Yousef Abu Nahleh & Arun Kumar & Nirajan Shiwakoti, 2020. "Projection of Greenhouse Gas Emissions for the Road Transport Sector Based on Multivariate Regression and the Double Exponential Smoothing Model," Sustainability, MDPI, vol. 12(21), pages 1-18, November.
- Rao, Congjun & Zhang, Yue & Wen, Jianghui & Xiao, Xinping & Goh, Mark, 2023. "Energy demand forecasting in China: A support vector regression-compositional data second exponential smoothing model," Energy, Elsevier, vol. 263(PC).
- Meng, Ming & Niu, Dongxiao, 2011. "Modeling CO2 emissions from fossil fuel combustion using the logistic equation," Energy, Elsevier, vol. 36(5), pages 3355-3359.
- Atul Anand & L Suganthi, 2018. "Hybrid GA-PSO Optimization of Artificial Neural Network for Forecasting Electricity Demand," Energies, MDPI, vol. 11(4), pages 1-15, March.
- Yoosoon Chang & Yongok Choi & Chang Sik Kim & J. Isaac Miller & Joon Y. Park, 2024.
"Common Trends and Country Specific Heterogeneities in Long-Run World Energy Consumption,"
Working Papers
No 01/2024, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Yoosoon Chang & Yongok Choi & Chang Sik Kim & J. Isaac Miller & Joon Y. Park, 2024. "Common Trends and Country Specific Heterogeneities in Long-Run World Energy Consumption," CAMA Working Papers 2024-04, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Yoosoon Chang & Yongok Choi & Chang Sik Kim & J. Isaac Miller & Joon Y. Park, 2024. "Common Trends and Country Specific Heterogeneities in Long-Run World Energy Consumption," Working Papers 2401, Department of Economics, University of Missouri.
- Yoosoon Chang & Yongok Choi & Chang Sik Kim & J. Isaac Miller & Joon Y. Park, 2024. "Common Trends and Country Specific Heterogeneities in Long-Run World Energy Consumption," CAEPR Working Papers 2024-001 Classification-1, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
- Ke Yan & Xudong Wang & Yang Du & Ning Jin & Haichao Huang & Hangxia Zhou, 2018. "Multi-Step Short-Term Power Consumption Forecasting with a Hybrid Deep Learning Strategy," Energies, MDPI, vol. 11(11), pages 1-15, November.
- Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
- Armenia Androniceanu & Irina Georgescu & Ionuț Nica & Nora Chiriță, 2023. "A Comprehensive Analysis of Renewable Energy Based on Integrating Economic Cybernetics and the Autoregressive Distributed Lag Model—The Case of Romania," Energies, MDPI, vol. 16(16), pages 1-28, August.
- Ewees, Ahmed A. & Elaziz, Mohamed Abd & Alameer, Zakaria & Ye, Haiwang & Jianhua, Zhang, 2020. "Improving multilayer perceptron neural network using chaotic grasshopper optimization algorithm to forecast iron ore price volatility," Resources Policy, Elsevier, vol. 65(C).
- Zeng, Sheng & Su, Bin & Zhang, Minglong & Gao, Yuan & Liu, Jun & Luo, Song & Tao, Qingmei, 2021. "Analysis and forecast of China's energy consumption structure," Energy Policy, Elsevier, vol. 159(C).
- Sergey Zhironkin & Fares Abu-Abed & Elena Dotsenko, 2023. "The Development of Renewable Energy in Mineral Resource Clusters—The Case of the Siberian Federal District," Energies, MDPI, vol. 16(9), pages 1-28, April.
- Mergani A. Khairalla & Xu Ning & Nashat T. AL-Jallad & Musaab O. El-Faroug, 2018. "Short-Term Forecasting for Energy Consumption through Stacking Heterogeneous Ensemble Learning Model," Energies, MDPI, vol. 11(6), pages 1-21, June.
- Li, Minyang & Lin, Boqiang, 2024. "Clean energy business expansion and financing availability: The role of government and market," Energy Policy, Elsevier, vol. 191(C).
- Florin-Constantin Mihai & Ionut Minea, 2021. "Sustainable Alternative Routes versus Linear Economy and Resources Degradation in Eastern Romania," Sustainability, MDPI, vol. 13(19), pages 1-23, September.
- Razi, Ummara & Karim, Sitara & Cheong, Calvin W.H., 2024. "From turbulence to resilience: A bibliometric insight into the complex interactions between energy price volatility and green finance," Energy, Elsevier, vol. 304(C).
- Pruethsan Sutthichaimethee & Kuskana Kubaha, 2018. "The Efficiency of Long-Term Forecasting Model on Final Energy Consumption in Thailand’s Petroleum Industries Sector: Enriching the LT-ARIMAXS Model under a Sustainability Policy," Energies, MDPI, vol. 11(8), pages 1-18, August.
- Potočnik, Primož & Soldo, Božidar & Šimunović, Goran & Šarić, Tomislav & Jeromen, Andrej & Govekar, Edvard, 2014. "Comparison of static and adaptive models for short-term residential natural gas forecasting in Croatia," Applied Energy, Elsevier, vol. 129(C), pages 94-103.
- Xingcai Zhou & Jiangyan Wang, 2021. "Panel semiparametric quantile regression neural network for electricity consumption forecasting," Papers 2103.00711, arXiv.org.
More about this item
Keywords
biogas; Three Seas Initiative countries; ARIMA;All these keywords.
Statistics
Access and download statisticsCorrections
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:16:y:2023:i:3:p:1366-:d:1049176. 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.