Artificial Intelligence and emerging digital technologies in the energy sector
Citations
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Cited by:
- Lianqing Li & Jean-Philippe Boussemart & Zhiyang Shen & Michael Vardanyan, 2026.
"Assessing the potential of digital technology: an integrated measurement of economic, environmental, and social performance,"
Annals of Operations Research, Springer, vol. 357(1), pages 707-737, February.
- Lianqing Li & Jean-Philippe Boussemart & Zhiyang Shen & Michael Vardanyan, 2025. "Assessing the potential of digital technology: an integrated measurement of economic, environmental, and social performance," Post-Print hal-05105788, HAL.
- Jianxin Chang, 2025. "The impact of digitalization on low-carbon transition in China: the moderating role of dual development targets," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(11), pages 25841-25866, November.
- Shan Yan & Wen Zhong & Zhiqing Yan, 2025. "Carbon Reduction Impact of the Digital Economy: Infrastructure Thresholds, Dual Objectives Constraint, and Mechanism Optimization Pathways," Sustainability, MDPI, vol. 17(16), pages 1-23, August.
- 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).
- 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.
- 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).
- 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).
- Salman, Muhammad, 2025. "Germany’s energy security strategy in times of turmoil: The role of AI-driven energy systems and environmental policy in the Russian gas exit," Energy Policy, Elsevier, vol. 205(C).
- 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.
- 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.
- 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).
- 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.
- Fang Tang & Longpeng Zhang, 2025. "Impact of data element development on the application of artificial intelligence in enterprises," Empirical Economics, Springer, vol. 69(6), pages 3589-3634, December.
- 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).
- 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).
- 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).
- 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.
- Zhang, Wei & Zhang, Yunjia & Lan, Xuling & Song, Malin, 2025. "“Green BRICS”: How artificial intelligence can build the explicit structure and implicit order of energy transition," Energy Economics, Elsevier, vol. 149(C).
- Pengfei Zhou & Yang Cai & Yang Shen, 2025. "Research on the Impact and Mechanism of Digital Technology on the Synergistic Governance of Pollution and Carbon Reduction," Sustainability, MDPI, vol. 17(16), pages 1-31, August.
- Jinhui Zheng & Shikuan Zhao & Yan Tan & Daniel Balsalobre-Lorente, 2026. "Does the digital economy promote synergy between pollution control and carbon reduction? Evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 28(2), pages 2683-2716, February.
- 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.
- 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.
- 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).
- 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).
- Li, Zhe & Liu, Minggang & Wang, Lu, 2025. "Artificial intelligence development and rural labor employment quality," International Review of Economics & Finance, Elsevier, vol. 102(C).
- Xu, Juan & Chen, Yu & Yang, Nan & Shao, Shuai, 2025. "The impact of artificial intelligence on the energy transition: evidence from Chinese cities," World Development, Elsevier, vol. 195(C).
- 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).
- He, Yugang, 2026. "Rewiring industrial futures: The role of AI-enabled digital twins in energy productivity transitions," International Review of Economics & Finance, Elsevier, vol. 105(C).
- 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.
- Zihao Lin, 2024. "Can digital transformation curtail carbon emissions? Evidence from a quasi-natural experiment," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
- 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).
- Ming-Lang Tseng & Shu-Xian Li & Ming K. Lim & Tat-Dat Bui & Muhamat Ridho Yuliyanto & Mohammad Iranmanesh, 2025. "Causality of circular supply chain management in small and medium-sized enterprises using qualitative information: a waste management practices approach in Indonesia," Annals of Operations Research, Springer, vol. 355(2), pages 1685-1726, December.
- Qiang Wang & Tingting Sun & Rongrong Li, 2026. "Artificial Intelligence for Alleviating Energy Poverty: Pathways Toward Sustainable and Renewable Energy Transitions," Sustainable Development, John Wiley & Sons, Ltd., vol. 34(S2), pages 1324-1347, March.
- Yue, Jia & Chen, Siyao & Weng, Zhixiong, 2025. "Digital technology alleviates intergenerational energy poverty: Evidence from household analysis," Applied Energy, Elsevier, vol. 399(C).
- 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.
- Qiang Wang & Yuanfan Li & Rongrong Li, 2024. "Ecological footprints, carbon emissions, and energy transitions: the impact of artificial intelligence (AI)," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 11(1), pages 1-18, December.
- 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.
- 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.
- 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).
- 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.
- Shao, Mingxing & Wen, Lei & Li, Sifei & Huang, Binyue, 2025. "Exploring the role of artificial intelligence as a catalyst for energy technology innovation," Energy Economics, Elsevier, vol. 147(C).
- 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).
- 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.
- 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).
- 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.
- 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.
- 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.
- 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.
- Shen, Xiaobo & Lin, Boqiang & Wang, Zhicheng, 2025. "Industrial informatization and electricity substitution: Towards a cleaner energy utilization structure," Energy, Elsevier, vol. 333(C).
- 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).
- 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).
- 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).
- Rizwana Yasmeen & Rui Tao, 2026. "Leveraging energy-sector artificial intelligence to enhance energy security and achieve sustainable development goals," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 13(1), pages 1-23, December.
- Huang, Chenchen & Lin, Boqiang, 2023. "Promoting decarbonization in the power sector: How important is digital transformation?," Energy Policy, Elsevier, vol. 182(C).
- Wang, Jie & Wang, Jun, 2024. "“Booster” or “Obstacle”: Can digital transformation improve energy efficiency? Firm-level evidence from China," Energy, Elsevier, vol. 296(C).
- Nurcan Kilinc‐Ata & Maya Puspa Rahman, 2025. "Digitalization and financial development contribution to the green energy transition in Malaysia: Findings from the BARDL approach," Natural Resources Forum, Blackwell Publishing, vol. 49(3), pages 2775-2793, August.
- 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.
- 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.
- 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).
- 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).
- 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.
- 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.
- 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).
- He, Ruifang & Liao, Xianchun & Xu, Yujie, 2025. "How does digital transformation affect high-quality development of China's power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 217(C).
- 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.
- 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).
- 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.
- 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).
- 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.
- 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.
- 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).
- 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.
- 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.
- Musadag El Zein & Girma Gebresenbet, 2024. "Digitalization in the Renewable Energy Sector," Energies, MDPI, vol. 17(9), pages 1-20, April.
- 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).
- Li, Pin & Zhang, Jinsuo & Zou, Shaohui & Xiong, Jing & Liu, Hong & Zhou, Lei, 2026. "Industrial relocation: its heterogeneous effects on photovoltaic development in China," Energy Policy, Elsevier, vol. 208(C).
- 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, Paradigm, vol. 18(1), pages 1658-1670.
- 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.
- 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.
- Li, Hongyu & Lu, Zhiqiang & Zhang, Zhengping & Tanasescu, Cristina, 2025. "How does artificial intelligence affect manufacturing firms' energy intensity?," Energy Economics, Elsevier, vol. 141(C).
- Zhou, Ruizhu, 2024. "Industry concentration and workers’ wage levels," Finance Research Letters, Elsevier, vol. 66(C).
- 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).
- Florian Schneider, 2026.
"Do robots boost productivity? A quantitative meta‐study,"
Journal of Economic Surveys, Wiley Blackwell, vol. 40(3), pages 1531-1571, July.
- Schneider, Florian, 2024. "Do robots boost productivity? A quantitative meta-study," MPRA Paper 123392, University Library of Munich, Germany.
- 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).
- 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).
- Qiang Wang & Tingting Sun & Rongrong Li, 2025. "Does artificial intelligence promote green innovation? An assessment based on direct, indirect, spillover, and heterogeneity effects," Energy & Environment, , vol. 36(2), pages 1005-1037, March.
- Ahmed, Zahoor, 2026. "The dual environmental impact of AI technologies: Analyzing direct effects vs. economic growth dynamics," Technological Forecasting and Social Change, Elsevier, vol. 224(C).
- 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).
- 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.
- 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).
- 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).
- Surajit Bag & Muhammad Sabbir Rahman & Susmi Routray & David Roubaud & Sachin Kumar Mangla, 2025. "Integrating Big Data and Artificial Intelligence Technology to Build Renewable Energy Supply Chain Resilience: An Empirical Study," Business Strategy and the Environment, Wiley Blackwell, vol. 34(7), pages 8847-8869, November.
- 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.
- 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).
- 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).
- 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.
- 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).
- Dian, Jie & Li, Shanmin & Song, Tian, 2025. "Achieving the synergy of pollution and carbon emission reductions: Can artificial intelligence applications work?," China Economic Review, Elsevier, vol. 91(C).
- 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.
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