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Artificial Intelligence and emerging digital technologies in the energy sector

Citations

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Cited by:

  1. Huang, Chenchen & Lin, Boqiang, 2023. "Promoting decarbonization in the power sector: How important is digital transformation?," Energy Policy, Elsevier, vol. 182(C).
  2. Wang, Jie & Wang, Jun, 2024. "“Booster” or “Obstacle”: Can digital transformation improve energy efficiency? Firm-level evidence from China," Energy, Elsevier, vol. 296(C).
  3. Ding, Tao & Li, Hao & Liu, Li & Feng, Kui, 2024. "An inquiry into the nexus between artificial intelligence and energy poverty in the light of global evidence," Energy Economics, Elsevier, vol. 136(C).
  4. Heymann, Fabian & Milojevic, Tatjana & Covatariu, Andrei & Verma, Piyush, 2023. "Digitalization in decarbonizing electricity systems – Phenomena, regional aspects, stakeholders, use cases, challenges and policy options," Energy, Elsevier, vol. 262(PB).
  5. Jiang, Wei & Hu, Yanhui & Zhao, Xiangyu, 2025. "The impact of artificial intelligence on carbon market in China: Evidence from quantile-on-quantile regression approach," Technological Forecasting and Social Change, Elsevier, vol. 212(C).
  6. Xu, Yingying & Shao, Xuefeng & Tanasescu, Cristina, 2024. "How are artificial intelligence, carbon market, and energy sector connected? A systematic analysis of time-frequency spillovers," Energy Economics, Elsevier, vol. 132(C).
  7. Enock Siankwilimba & Chisoni Mumba & Bernard Mudenda Hang’ombe & Joshua Munkombwe & Jacqueline Hiddlestone-Mumford & Munyaradzi A. Dzvimbo & Md Enamul Hoque, 2024. "Bioecosystems towards sustainable agricultural extension delivery: effects of various factors," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 21801-21843, September.
  8. Pengfei Zhou & Mengyu Han & Yang Shen, 2023. "Impact of Intelligent Manufacturing on Total-Factor Energy Efficiency: Mechanism and Improvement Path," Sustainability, MDPI, vol. 15(5), pages 1-22, February.
  9. Nguyen Thanh Viet & Alla G. Kravets, 2022. "The New Method for Analyzing Technology Trends of Smart Energy Asset Performance Management," Energies, MDPI, vol. 15(18), pages 1-26, September.
  10. Wang, Yong & Zhao, Wenhao & Ma, Xuejiao, 2024. "The spatial spillover impact of artificial intelligence on energy efficiency: Empirical evidence from 278 Chinese cities," Energy, Elsevier, vol. 312(C).
  11. Malewska, Kamila & Cyfert, Szymon & Chwiłkowska-Kubala, Anna & Mierzejewska, Katrzyna & Szumowski, Witold, 2024. "The missing link between digital transformation and business model innovation in energy SMEs: The role of digital organisational culture," Energy Policy, Elsevier, vol. 192(C).
  12. Li, Bin, 2024. "Leading role of natural resources, eco-efficiency assessment, and energy transition in environmental sustainability: A depth of digital transformation," Resources Policy, Elsevier, vol. 94(C).
  13. Wang, Linhui & Cao, Zhanglu & Dong, Zhiqing, 2023. "Are artificial intelligence dividends evenly distributed between profits and wages? Evidence from the private enterprise survey data in China," Structural Change and Economic Dynamics, Elsevier, vol. 66(C), pages 342-356.
  14. Guo, Qingbin & Peng, Yanqing & Luo, Kang, 2025. "The impact of artificial intelligence on energy environmental performance: Empirical evidence from cities in China," Energy Economics, Elsevier, vol. 141(C).
  15. Siti Rosilah Arsad & Muhamad Haziq Hasnul Hadi & Nayli Aliah Mohd Afandi & Pin Jern Ker & Shirley Gee Hoon Tang & Madihah Mohd Afzal & Santhi Ramanathan & Chai Phing Chen & Prajindra Sankar Krishnan &, 2023. "The Impact of COVID-19 on the Energy Sector and the Role of AI: An Analytical Review on Pre- to Post-Pandemic Perspectives," Energies, MDPI, vol. 16(18), pages 1-31, September.
  16. Yueqi Sun & Junlong Ti & Fang Yang & Hsing Hung Chen, 2025. "Blessing or Curse? The Impact of the Penetration of Industrial Robots on Green Sustainable Transformation in Chinese High-Energy-Consuming Industries," Energies, MDPI, vol. 18(3), pages 1-21, February.
  17. Pachouri, Vikrant & Singh, Rajesh & Gehlot, Anita & Pandey, Shweta & Vaseem Akram, Shaik & Abbas, Mohamed, 2024. "Empowering sustainability in the built environment: A technological Lens on industry 4.0 Enablers," Technology in Society, Elsevier, vol. 76(C).
  18. Henryk Dzwigol & Aleksy Kwilinski & Oleksii Lyulyov & Tetyana Pimonenko, 2024. "Digitalization and Energy in Attaining Sustainable Development: Impact on Energy Consumption, Energy Structure, and Energy Intensity," Energies, MDPI, vol. 17(5), pages 1-17, March.
  19. Chen, Yan & Zhang, Ruiqian & Lyu, Jiayi & Hou, Yuqi, 2024. "AI and Nuclear: A perfect intersection of danger and potential?," Energy Economics, Elsevier, vol. 133(C).
  20. Yang, Run & Liu, Xiangui & Yu, Rongze & Hu, Zhiming & Duan, Xianggang, 2022. "Long short-term memory suggests a model for predicting shale gas production," Applied Energy, Elsevier, vol. 322(C).
  21. Xu, Jing & Cui, Zhipeng & Ma, Suxia & Wang, Xiaowei & Zhang, Zhiyao & Zhang, Guoxia, 2024. "Data based digital twin for operational performance optimization in CFB boilers," Energy, Elsevier, vol. 306(C).
  22. Giovanni N. Enero & Joan P. Bacarisas, 2025. "Digital Application Skills and Documentation Skills among Nurses in a Private Hospitals in Ormoc City," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 12(3), pages 1-38, March.
  23. Musadag El Zein & Girma Gebresenbet, 2024. "Digitalization in the Renewable Energy Sector," Energies, MDPI, vol. 17(9), pages 1-20, April.
  24. Jaroslaw Krzywanski & Tomasz Czakiert & Anna Zylka & Wojciech Nowak & Marcin Sosnowski & Karolina Grabowska & Dorian Skrobek & Karol Sztekler & Anna Kulakowska & Waqar Muhammad Ashraf & Yunfei Gao, 2022. "Modelling of SO 2 and NO x Emissions from Coal and Biomass Combustion in Air-Firing, Oxyfuel, iG-CLC, and CLOU Conditions by Fuzzy Logic Approach," Energies, MDPI, vol. 15(21), pages 1-17, October.
  25. Urom, Christian & Ndubuisi, Gideon & Guesmi, Khaled & Benkraien, Ramzi, 2022. "Quantile co-movement and dependence between energy-focused sectors and artificial intelligence," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
  26. Zhao, Guanjia & Cui, Zhipeng & Xu, Jing & Liu, Wenhao & Ma, Suxia, 2022. "Hybrid modeling-based digital twin for performance optimization with flexible operation in the direct air-cooling power unit," Energy, Elsevier, vol. 254(PC).
  27. Wang, Meijun & Liu, Chan & Tan, Zhanglu & Ye, Zihan & Lv, Hanbing, 2025. "Synergistic pathways towards greening and digital transformations of Chinese primary energy producers: Reassessing the microeconomic effects of environmental regulation," Energy, Elsevier, vol. 325(C).
  28. Zhang, Qianxiang & Min Du, Anna & Lin, Boqiang, 2025. "Driving total factor productivity: The spillover effect of digitalization in the new energy supply chain," Research in International Business and Finance, Elsevier, vol. 75(C).
  29. Lin Wang & Yugang He & Renhong Wu, 2024. "Digitization Meets Energy Transition: Shaping the Future of Environmental Sustainability," Energies, MDPI, vol. 17(4), pages 1-25, February.
  30. Li, Cong & Zhang, Yue & Liu, Xihua & Sun, Jiawen, 2025. "Does artificial intelligence promote green technology innovation in the energy industry?," Energy Economics, Elsevier, vol. 144(C).
  31. Mojtaba Poursaeid & Amir Houssain Poursaeid & Saeid Shabanlou, 2022. "A Comparative Study of Artificial Intelligence Models and A Statistical Method for Groundwater Level Prediction," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(5), pages 1499-1519, March.
  32. Fargalla, Mandella Ali M. & Yan, Wei & Deng, Jingen & Wu, Tao & Kiyingi, Wyclif & Li, Guangcong & Zhang, Wei, 2024. "TimeNet: Time2Vec attention-based CNN-BiGRU neural network for predicting production in shale and sandstone gas reservoirs," Energy, Elsevier, vol. 290(C).
  33. Zhengang Zhang & Peilun Li & Liangxiong Huang & Yichen Kang, 2024. "The impact of artificial intelligence on green transformation of manufacturing enterprises: evidence from China," Economic Change and Restructuring, Springer, vol. 57(4), pages 1-36, August.
  34. Victoria Galkovskaya & Mariia Volos, 2022. "Economic Efficiency of the Implementation of Digital Technologies in Energy Power," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
  35. Zihao Lin, 2024. "Can digital transformation curtail carbon emissions? Evidence from a quasi-natural experiment," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
  36. Chițu Florentina & Mecu Andra-Nicoleta & Marin Georgiana-Ionela, 2024. "Exploring the Climate Change-AI Nexus: A Bibliometric and Scientometric Study," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 1658-1670.
  37. Chwiłkowska-Kubala, Anna & Cyfert, Szymon & Malewska, Kamila & Mierzejewska, Katarzyna & Szumowski, Witold, 2023. "The impact of resources on digital transformation in energy sector companies. The role of readiness for digital transformation," Technology in Society, Elsevier, vol. 74(C).
  38. Zsolt Buri & Csanád Sipos & Edit Szűcs & Domicián Máté, 2024. "Smart and Sustainable Energy Consumption: A Bibliometric Review and Visualization," Energies, MDPI, vol. 17(13), pages 1-14, July.
  39. Niu, Xiaotong & Lin, Changao & He, Shanshan & Yang, Youcai, 2025. "Artificial intelligence and enterprise pollution emissions: From the perspective of energy transition," Energy Economics, Elsevier, vol. 144(C).
  40. Marley Vanegas-Chamorro & Mar a Mercedes Cely-Bautista & Eunice Villica a-Ortiz & Daniel Mendoza-C ceres & Valeria Visbal-Vanegas, 2022. "Current Status of Solar-Thermal and Solar-Photovoltaic Technology Development at the International Level," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 112-122, November.
  41. Kunpeng Ai & Honghe Li & Wenjie Zhang & Xiang-Wu Yan, 2024. "Digital Economy and Green and Low-Carbon Transformation of Land Use: Spatial Effects and Moderating Mechanisms," Land, MDPI, vol. 13(8), pages 1-28, July.
  42. Liudmyla Zakharkina & Pavlo Rubanov & Balsheker Alibekova & Oleksii Zakharkin & Luiza Moldashbayeva, 2022. "The Impact of Digital Transformation in the Accounting System of Fuel and Energy Complex Enterprises (International Experience)," International Journal of Energy Economics and Policy, Econjournals, vol. 12(5), pages 152-161, September.
  43. Lammers, Thorsten & Rashid, Lubna & Kratzer, Jan & Voinov, Alexey, 2022. "An analysis of the sustainability goals of digital technology start-ups in Berlin," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
  44. Angelique Mukasine & Louis Sibomana & Kayalvizhi Jayavel & Kizito Nkurikiyeyezu & Eric Hitimana, 2024. "Maximizing Biogas Yield Using an Optimized Stacking Ensemble Machine Learning Approach," Energies, MDPI, vol. 17(2), pages 1-13, January.
  45. Li, Hongyu & Lu, Zhiqiang & Zhang, Zhengping & Tanasescu, Cristina, 2025. "How does artificial intelligence affect manufacturing firms' energy intensity?," Energy Economics, Elsevier, vol. 141(C).
  46. Zhao, Xiongfei & Li, Shuangjie, 2025. "Artificial intelligence and public environmental concern: Impacts on green innovation transformation in energy-intensive enterprises," Energy Policy, Elsevier, vol. 198(C).
  47. Jing Wang & Yubing Xu, 2022. "How Does Digitalization Affect Haze Pollution? The Mediating Role of Energy Consumption," IJERPH, MDPI, vol. 19(18), pages 1-15, September.
  48. Justyna Światowiec-Szczepańska & Beata Stępień, 2022. "Drivers of Digitalization in the Energy Sector—The Managerial Perspective from the Catching Up Economy," Energies, MDPI, vol. 15(4), pages 1-25, February.
  49. Zhou, Ruizhu, 2024. "Industry concentration and workers’ wage levels," Finance Research Letters, Elsevier, vol. 66(C).
  50. Cui, Zhipeng & Xu, Jing & Liu, Wenhao & Zhao, Guanjia & Ma, Suxia, 2023. "Data-driven modeling-based digital twin of supercritical coal-fired boiler for metal temperature anomaly detection," Energy, Elsevier, vol. 278(PA).
  51. Schneider, Florian, 2024. "Do robots boost productivity? A quantitative meta-study," MPRA Paper 123392, University Library of Munich, Germany.
  52. Tao, Jing & Xie, Xiaoqing & Peng, Rongsheng & Bei, Na, 2024. "Digital economy and environmental pollution in the manufacturing sector: Emission reduction effects and mechanisms," International Review of Economics & Finance, Elsevier, vol. 96(PC).
  53. Bhagwan, N. & Evans, M., 2023. "A review of industry 4.0 technologies used in the production of energy in China, Germany, and South Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
  54. Chankook Park, 2022. "Expansion of servitization in the energy sector and its implications," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 11(4), July.
  55. Ferdaus, Md Meftahul & Dam, Tanmoy & Anavatti, Sreenatha & Das, Sarobi, 2024. "Digital technologies for a net-zero energy future: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
  56. Farzaneh Mohammadi Jouzdani & Vahid Javidroozi & Hanifa Shah & Monica Mateo Garcia, 2025. "A Systemic Digital Transformation for Smart Net-Zero Cities: A State-of-the-Art Review," J, MDPI, vol. 8(1), pages 1-32, March.
  57. Izabela Jonek-Kowalska & Sara Rupacz, 2023. "The Innovative Nature of Selected Polish Companies in the Energy Sector Compared to the Use of Renewable Energy Sources from a Financial and an Investor’s Perspective," Resources, MDPI, vol. 12(12), pages 1-19, December.
  58. Lee, Chi-Chuan & Fang, Yuzhu, 2025. "Climate finance for energy security: An empirical analysis from a global perspective," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 963-978.
  59. Qiang Wang & Yuanfan Li & Rongrong Li, 2024. "Ecological footprints, carbon emissions, and energy transitions: the impact of artificial intelligence (AI)," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
  60. Latifa A. Yousef & Hibba Yousef & Lisandra Rocha-Meneses, 2023. "Artificial Intelligence for Management of Variable Renewable Energy Systems: A Review of Current Status and Future Directions," Energies, MDPI, vol. 16(24), pages 1-27, December.
  61. Teresa Murino & Roberto Monaco & Per Sieverts Nielsen & Xiufeng Liu & Gianluigi Esposito & Carlo Scognamiglio, 2023. "Sustainable Energy Data Centres: A Holistic Conceptual Framework for Design and Operations," Energies, MDPI, vol. 16(15), pages 1-14, August.
  62. Daniela Baglieri, 2024. "Turning green hydrogen into firms’ decarbonization strategies: opportunities, challenges, and implications for China," Asian Business & Management, Palgrave Macmillan, vol. 23(5), pages 660-682, November.
  63. Zhang, Weike & Zeng, Ming, 2024. "Is artificial intelligence a curse or a blessing for enterprise energy intensity? Evidence from China," Energy Economics, Elsevier, vol. 134(C).
  64. Jun Liu & Yu Qian & Yuanjun Yang & Zhidan Yang, 2022. "Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China," IJERPH, MDPI, vol. 19(4), pages 1-18, February.
  65. Jun Tang & Yueting Li & Yu Gao, 2024. "Spatial Effects of Energy System Digitization on Carbon Emissions: Evidence from China," Sustainability, MDPI, vol. 16(5), pages 1-19, February.
  66. Yang, Senmiao & Wang, Jianda & Dong, Kangyin & Jiang, Qingzhe, 2023. "A path towards China's energy justice: How does digital technology innovation bring about a just revolution?," Energy Economics, Elsevier, vol. 127(PA).
  67. Fang, Yuzhu & Lee, Chi-Chuan & Li, Xinghao, 2025. "Assessing the impact of artificial intelligence on the transition to renewable energy? Analysis of U.S. states under policy uncertainty," Renewable Energy, Elsevier, vol. 246(C).
  68. Fareri, Silvia & Apreda, Riccardo & Mulas, Valentina & Alonso, Ruben, 2023. "The worker profiler: Assessing the digital skill gaps for enhancing energy efficiency in manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
  69. Angelique Mukasine & Louis Sibomana & Kayalvizhi Jayavel & Kizito Nkurikiyeyezu & Eric Hitimana, 2023. "Correlation Analysis Model of Environment Parameters Using IoT Framework in a Biogas Energy Generation Context," Future Internet, MDPI, vol. 15(8), pages 1-14, August.
  70. Maria Cristina Enache, 2024. "The Perceptions of Romanian Students on the Adoption of Artificial Intelligence and Emerging Technologies," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 3, pages 128-133.
  71. Anna Kwiotkowska, 2024. "Creating Organizational Resilience through Digital Transformation and Dynamic Capabilities: Findings from fs/QCA Analysis on the Example of Polish CHP Plants," Sustainability, MDPI, vol. 16(14), pages 1-18, July.
  72. Zhang, Kun & Kou, Zi-Xuan & Zhu, Pei-Hua & Qian, Xiang-Yan & Yang, Yun-Ze, 2025. "How does AI affect urban carbon emissions? Quasi-experimental evidence from China's AI innovation and development pilot zones," Economic Analysis and Policy, Elsevier, vol. 85(C), pages 426-447.
  73. Chen, Yang & Cheng, Liang & Lee, Chien-Chiang, 2022. "How does the use of industrial robots affect the ecological footprint? International evidence," Ecological Economics, Elsevier, vol. 198(C).
  74. Zhao, Qian & Wang, Lu & Stan, Sebastian-Emanuel & Mirza, Nawazish, 2024. "Can artificial intelligence help accelerate the transition to renewable energy?," Energy Economics, Elsevier, vol. 134(C).
  75. Yang, Siying & Liu, Fengshuo, 2024. "Impact of industrial intelligence on green total factor productivity: The indispensability of the environmental system," Ecological Economics, Elsevier, vol. 216(C).
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