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A machine learning approach on the relationship among solar and wind energy production, coal consumption, GDP, and CO2 emissions
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- Cosimo Magazzino & Marco Mele & Fabio Gaetano Santeramo, 2021. "Using an Artificial Neural Networks Experiment to Assess the Links among Financial Development and Growth in Agriculture," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
- Yongming Huang & Muhammed Ashiq Villanthenkodath & Mohammad Haseeb, 2023. "The nexus between eco‐friendly technology and environmental degradation in India: Does the N or inverted N‐shape load capacity curve(LCC) hypothesis hold?," Natural Resources Forum, Blackwell Publishing, vol. 47(2), pages 276-297, May.
- Kahia, Montassar & Moulahi, Tarek & Mahfoudhi, Sami & Boubaker, Sabri & Omri, Anis, 2022.
"A machine learning process for examining the linkage among disaggregated energy consumption, economic growth, and environmental degradation,"
Resources Policy, Elsevier, vol. 79(C).
- M. Kahia & T. Moulahi & S. Mahfoudhi & S. Boubaker & A. Omri, 2022. "A Machine Learning Process for Examining the Linkage among Disaggregated Energy Consumption, Economic Growth, and Environmental Degradation," Post-Print hal-04454686, HAL.
- Yu, Jinna & Tang, Yuk Ming & Chau, Ka Yin & Nazar, Raima & Ali, Sajid & Iqbal, Wasim, 2022. "Role of solar-based renewable energy in mitigating CO2 emissions: Evidence from quantile-on-quantile estimation," Renewable Energy, Elsevier, vol. 182(C), pages 216-226.
- Mushtaq Taleb & Ruzelan Khalid & Ali Emrouznejad & Razamin Ramli, 2023. "Environmental efficiency under weak disposability: an improved super efficiency data envelopment analysis model with application for assessment of port operations considering NetZero," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6627-6656, July.
- Imen Chaouali & Mehdi Ben Jebli & Wadim Strielkowski, 2023. "How renewable energy and service growth influence environmental quality: Evidence from a sustainable development perspective," Natural Resources Forum, Blackwell Publishing, vol. 47(2), pages 257-275, May.
- Manirathinam, Thangaraj & Narayanamoorthy, Samayan & Geetha, Selvaraj & Othman, Mohd Fairuz Iskandar & Alotaibi, Badr Saad & Ahmadian, Ali & Kang, Daekook, 2023. "Sustainable renewable energy system selection for self-sufficient households using integrated fermatean neutrosophic fuzzy stratified AHP-MARCOS approach," Renewable Energy, Elsevier, vol. 218(C).
- Yu, Jinna & Saydaliev, Hayot Berk & Liu, Zhen & Nazar, Raima & Ali, Sajid, 2022. "The asymmetric nexus of solar energy and environmental quality: Evidence from Top-10 solar energy-consuming countries," Energy, Elsevier, vol. 247(C).
- Kaewnern, Hathaipat & Wangkumharn, Sirikul & Deeyaonarn, Wongsathon & Yousaf, Abaid Ullah & Kongbuamai, Nattapan, 2023. "Investigating the role of research development and renewable energy on human development: An insight from the top ten human development index countries," Energy, Elsevier, vol. 262(PB).
- Upma Singh & Mohammad Rizwan & Hasmat Malik & Fausto Pedro García Márquez, 2022. "Wind Energy Scenario, Success and Initiatives towards Renewable Energy in India—A Review," Energies, MDPI, vol. 15(6), pages 1-39, March.
- Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2022. "A new artificial neural networks algorithm to analyze the nexus among logistics performance, energy demand, and environmental degradation," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 315-328.
- Chopra, Ritika & Magazzino, Cosimo & Shah, Muhammad Ibrahim & Sharma, Gagan Deep & Rao, Amar & Shahzad, Umer, 2022. "The role of renewable energy and natural resources for sustainable agriculture in ASEAN countries: Do carbon emissions and deforestation affect agriculture productivity?," Resources Policy, Elsevier, vol. 76(C).
- Nazlioglu, Saban & Kassouri, Yacouba & Kucukkaplan, Ilhan & Soytas, Ugur, 2022. "Convergence of oil consumption: A historical perspective with new concepts," Energy Policy, Elsevier, vol. 168(C).
- Jiang, Wei & Sun, Yifei, 2023. "Which is the more important factor of carbon emission, coal consumption or industrial structure?," Energy Policy, Elsevier, vol. 176(C).
- Shahzad, Umer & Schneider, Nicolas & Ben Jebli, Mehdi, 2021. "How coal and geothermal energies interact with industrial development and carbon emissions? An autoregressive distributed lags approach to the Philippines," Resources Policy, Elsevier, vol. 74(C).
- Bahman Huseynli, 2023. "Renewable Solar Energy Resources Potential and Strategy in Azerbaijan," International Journal of Energy Economics and Policy, Econjournals, vol. 13(1), pages 31-38, January.
- Haroon ur Rashid Khan & Usama Awan & Khalid Zaman & Abdelmohsen A. Nassani & Mohamed Haffar & Muhammad Moinuddin Qazi Abro, 2021. "Assessing Hybrid Solar-Wind Potential for Industrial Decarbonization Strategies: Global Shift to Green Development," Energies, MDPI, vol. 14(22), pages 1-14, November.
- Kocak, Emrah & Ulug, Eyup Emre & Oralhan, Burcu, 2023. "The impact of electricity from renewable and non-renewable sources on energy poverty and greenhouse gas emissions (GHGs): Empirical evidence and policy implications," Energy, Elsevier, vol. 272(C).
- Mirziyoyeva, Ziroat & Salahodjaev, Raufhon, 2022. "Renewable energy and CO2 emissions intensity in the top carbon intense countries," Renewable Energy, Elsevier, vol. 192(C), pages 507-512.
- Huang, Jiaqing & Wang, Linlin & Siddik, Abu Bakkar & Abdul-Samad, Zulkiflee & Bhardwaj, Arpit & Singh, Bharat, 2023. "Forecasting GHG emissions for environmental protection with energy consumption reduction from renewable sources: A sustainable environmental system," Ecological Modelling, Elsevier, vol. 475(C).
- Georgescu, Irina Alexandra & Oprea, Simona-Vasilica & Bâra, Adela, 2024. "Investigating the relationship between macroeconomic indicators, renewables and pollution across diverse regions in the globalization era," Applied Energy, Elsevier, vol. 363(C).
- Jinjie Zhao & Lei Kou & Haitao Wang & Xiaoyu He & Zhihui Xiong & Chaoqiang Liu & Hao Cui, 2022. "Carbon Emission Prediction Model and Analysis in the Yellow River Basin Based on a Machine Learning Method," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
- Anastasovski, Aleksandar, 2023. "What is needed for transformation of industrial parks into potential positive energy industrial parks? A review," Energy Policy, Elsevier, vol. 173(C).
- Lei Zhu & Wei Fang & Saif Ur Rahman & Ahmad Imran Khan, 2023. "How solar-based renewable energy contributes to CO2 emissions abatement? Sustainable environment policy implications for solar industry," Energy & Environment, , vol. 34(2), pages 359-378, March.
- Gema Hernández-Moral & Sofía Mulero-Palencia & Víctor Iván Serna-González & Carla Rodríguez-Alonso & Roberto Sanz-Jimeno & Vangelis Marinakis & Nikos Dimitropoulos & Zoi Mylona & Daniele Antonucci & H, 2021. "Big Data Value Chain: Multiple Perspectives for the Built Environment," Energies, MDPI, vol. 14(15), pages 1-21, July.
- Yang, Yang & Lang, Jin & Wu, Jian & Zhang, Yanyan & Su, Lijie & Song, Xiangman, 2022. "Wind speed forecasting with correlation network pruning and augmentation: A two-phase deep learning method," Renewable Energy, Elsevier, vol. 198(C), pages 267-282.
- Ma, Qiang & Murshed, Muntasir & Khan, Zeeshan, 2021. "The nexuses between energy investments, technological innovations, emission taxes, and carbon emissions in China," Energy Policy, Elsevier, vol. 155(C).
- Ahmad, Tanveer & Madonski, Rafal & Zhang, Dongdong & Huang, Chao & Mujeeb, Asad, 2022. "Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
- Marco Mele & Cosimo Magazzino & Nicolas Schneider & Antonia Rosa Gurrieri & Hêriş Golpira, 2022. "Innovation, income, and waste disposal operations in Korea: evidence from a spectral granger causality analysis and artificial neural networks experiments," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 39(2), pages 427-459, July.
- Yilin Xie & Ying Xu, 2022. "Transmission Expansion Planning Considering Wind Power and Load Uncertainties," Energies, MDPI, vol. 15(19), pages 1-18, September.
- AlNemer, Hashem A. & Hkiri, Besma & Tissaoui, Kais, 2023. "Dynamic impact of renewable and non-renewable energy consumption on CO2 emission and economic growth in Saudi Arabia: Fresh evidence from wavelet coherence analysis," Renewable Energy, Elsevier, vol. 209(C), pages 340-356.
- Magazzino, Cosimo & Giolli, Lorenzo, 2021. "The relationship among railway networks, energy consumption, and real added value in Italy. Evidence form ARDL and Wavelet analysis," Research in Transportation Economics, Elsevier, vol. 90(C).
- Taner Güney & Duygu İnce, 2024. "Solar Energy and CO2 Emissions: CCEMG Estimations for 26 Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 2383-2400, March.
- Rivero-Iglesias, Jose M. & Puente, Javier & Fernandez, Isabel & León, Omar, 2023. "Integrated model for the assessment of power generation alternatives through analytic hierarchy process and a fuzzy inference system. Case study of Spain," Renewable Energy, Elsevier, vol. 211(C), pages 563-581.
- Yuan Zhao & Bowen Du & Shunyi Chen & Jun Zhao & Zhipeng Guo & Lingbao Wang, 2022. "Energy and Conventional and Advanced Exergy Analyses of Low-Temperature Geothermal Binary-Flashing Cycle Using Zeotropic Mixtures," Energies, MDPI, vol. 15(10), pages 1-18, May.
- Ibrahim, Ridwan Lanre & Al-mulali, Usama & Ozturk, Ilhan & Bello, Ajide Kazeem & Raimi, Lukman, 2022. "On the criticality of renewable energy to sustainable development: Do green financial development, technological innovation, and economic complexity matter for China?," Renewable Energy, Elsevier, vol. 199(C), pages 262-277.
- Hasdi Aimon & Anggi Putri Kurniadi & Sri Ulfa Sentosa & Nurhayati Abd Rahman, 2023. "Production, Consumption, Export and Carbon Emission for Coal Commodities: Cases of Indonesia and Australia," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 484-492, September.
- Bashir, Muhammad Farhan & MA, Benjiang & Hussain, Hafezali Iqbal & Shahbaz, Muhammad & Koca, Kemal & Shahzadi, Irum, 2022. "Evaluating environmental commitments to COP21 and the role of economic complexity, renewable energy, financial development, urbanization, and energy innovation: Empirical evidence from the RCEP countr," Renewable Energy, Elsevier, vol. 184(C), pages 541-550.
- Li, Xiaolong & Ozturk, Ilhan & Ullah, Sana & Andlib, Zubaria & Hafeez, Muhammad, 2022. "Can top-pollutant economies shift some burden through insurance sector development for sustainable development?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 326-336.
- Kuşkaya, Sevda & Bilgili, Faik & Muğaloğlu, Erhan & Khan, Kamran & Hoque, Mohammad Enamul & Toguç, Nurhan, 2023. "The role of solar energy usage in environmental sustainability: Fresh evidence through time-frequency analyses," Renewable Energy, Elsevier, vol. 206(C), pages 858-871.
- Gu, Shanghao & Xu, Weihan & Xi, Kunling & Luo, Anxin & Fan, Kangqi & Wang, Fei, 2024. "High-performance piezoelectric energy harvesting system with anti-interference capability for smart grid monitoring," Renewable Energy, Elsevier, vol. 221(C).
- Atherton, John & Xie, Wanni & Aditya, Leonardus Kevin & Zhou, Xiaochi & Karmakar, Gourab & Akroyd, Jethro & Mosbach, Sebastian & Lim, Mei Qi & Kraft, Markus, 2021. "How does a carbon tax affect Britain’s power generation composition?," Applied Energy, Elsevier, vol. 298(C).
- Wang, Jia & Zhang, Zilong, 2023. "Impact of renewable energy and agriculture on mineral resources rents: Do economic and environmental aspects matter," Resources Policy, Elsevier, vol. 87(PB).
- Magazzino, Cosimo & Alola, Andrew Adewale & Schneider, Nicolas, 2021. "The trilemma of innovation, logistics performance, and environmental quality in 25 topmost logistics countries: a quantile regression evidence," LSE Research Online Documents on Economics 117654, London School of Economics and Political Science, LSE Library.