Long short-term memory suggests a model for predicting shale gas production DOI
Run Yang, Xiangui Liu,

Rongze Yu

et al.

Applied Energy, Journal Year: 2022, Volume and Issue: 322, P. 119415 - 119415

Published: June 20, 2022

Language: Английский

Global low-carbon energy transition in the post-COVID-19 era DOI Creative Commons

Jinfang Tian,

Longguang Yu,

Rui Xue

et al.

Applied Energy, Journal Year: 2021, Volume and Issue: 307, P. 118205 - 118205

Published: Nov. 24, 2021

The COVID-19 pandemic has created significant challenges for energy transition. Concerns about the overwhelming emphasis on economic recovery at cost of transition progress have been raised worldwide. More voices are calling "green" scheme, which recovers economy while not compromising environment. However, limited academic attention paid to comprehensively investigating implications global This study thus provides a comprehensive analysis dynamics between and around world proposes low-carbon roadmap in post-pandemic era. Using data from International Energy Agency (IEA), we first summarized reviewed prior COVID-19. Building progress, identified during perspectives government support, fossil fuel divestment, renewable production capacity, supply chain, poverty. also generates opportunities We hence potential presented by price competitiveness, policy implementation efficiency, strengths. further provided an in-depth discussion impact current worldwide stimulus Based opportunities, proposed terms broadening green financing instruments, strengthening international cooperation, enhancing plans. Our sheds light framework practical schemes times.

Language: Английский

Citations

456

Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System DOI
Prabhakar Sharma, Zafar Said,

Anurag Kumar

et al.

Energy & Fuels, Journal Year: 2022, Volume and Issue: 36(13), P. 6626 - 6658

Published: June 13, 2022

Nanofluids have gained significant popularity in the field of sustainable and renewable energy systems. The heat transfer capacity working fluid has a huge impact on efficiency system. addition small amount high thermal conductivity solid nanoparticles to base improves transfer. Even though large research data is available literature, some results are contradictory. Many influencing factors, as well nonlinearity refutations, make nanofluid highly challenging obstruct its potentially valuable uses. On other hand, data-driven machine learning techniques would be very useful for forecasting thermophysical features rate, identifying most influential assessing efficiencies different primary aim this review study look at applications employed nanofluid-based system, reveal new developments research. A variety modern algorithms studies systems examined, along with their advantages disadvantages. Artificial neural networks-based model prediction using contemporary commercial software simple develop popular. prognostic may further improved by combining marine predator algorithm, genetic swarm intelligence optimization, intelligent optimization approaches. In well-known networks fuzzy- gene-based techniques, newer ensemble such Boosted regression K-means, K-nearest neighbor (KNN), CatBoost, XGBoost gaining due architectures adaptabilities diverse types. regularly used fuzzy-based mostly black-box methods, user having little or no understanding how they function. This reason concern, ethical artificial required.

Language: Английский

Citations

244

From low carbon to carbon neutrality: A bibliometric analysis of the status, evolution and development trend DOI
Zheng Zhang, Guangwen Hu, Xianzhong Mu

et al.

Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 322, P. 116087 - 116087

Published: Aug. 28, 2022

Language: Английский

Citations

144

State-of-the-art sustainable approaches for deeper decarbonization in Europe – An endowment to climate neutral vision DOI

Rajvikram Madurai Elavarasan,

Rishi Pugazhendhi, Muhammad Irfan

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2022, Volume and Issue: 159, P. 112204 - 112204

Published: Feb. 3, 2022

Language: Английский

Citations

138

Realization of Sustainable Development Goals with Disruptive Technologies by Integrating Industry 5.0, Society 5.0, Smart Cities and Villages DOI Open Access

Padmanathan Kasinathan,

Rishi Pugazhendhi,

Rajvikram Madurai Elavarasan

et al.

Sustainability, Journal Year: 2022, Volume and Issue: 14(22), P. 15258 - 15258

Published: Nov. 17, 2022

Significant changes in society were emphasized as being required to achieve Sustainable Development Goals, a need which was further intensified with the emergence of pandemic. The prospective should be directed towards sustainable development, process technology plays crucial role. proposed study discusses technological potential for attaining Goals via disruptive technologies. This analyzes outcome technologies from aspects product health care transformation, pandemic case study, nature-inclusive business models, smart cities and villages. These outcomes are mapped direct influence on 3, 8, 9 11. Various ways influenced elaborated. investigation into highlighted that Industry 5.0 Society most supportive development underpin efforts Goals. proposes scenario where both integrated form villages prospects achieving more favorable due framework Goals’ interactions. Furthermore, an including new age establish concepts corresponding also mapped. A SWOT analysis is performed assess approach Ultimately, this can assist industrialist, policy makers researchers envisioning perspectives.

Language: Английский

Citations

138

A novel Sustainable Development Goal 7 composite index as the paradigm for energy sustainability assessment: A case study from Europe DOI

Rajvikram Madurai Elavarasan,

Rishi Pugazhendhi, Muhammad Irfan

et al.

Applied Energy, Journal Year: 2021, Volume and Issue: 307, P. 118173 - 118173

Published: Dec. 1, 2021

Language: Английский

Citations

130

Air pollution and soiling implications for solar photovoltaic power generation: A comprehensive review DOI
Zhe Song, Jia Liu, Hongxing Yang

et al.

Applied Energy, Journal Year: 2021, Volume and Issue: 298, P. 117247 - 117247

Published: June 18, 2021

Language: Английский

Citations

106

Investigation and analysis of effective approaches, opportunities, bottlenecks and future potential capabilities for digitalization of energy systems and sustainable development goals DOI
Doğan Çelík, Mehmet Emin Meral, Muhammad Waseem

et al.

Electric Power Systems Research, Journal Year: 2022, Volume and Issue: 211, P. 108251 - 108251

Published: July 8, 2022

Language: Английский

Citations

84

Promoting variable renewable energy integration: The moderating effect of digitalization DOI
Boqiang Lin, Chenchen Huang

Applied Energy, Journal Year: 2023, Volume and Issue: 337, P. 120891 - 120891

Published: Feb. 27, 2023

Language: Английский

Citations

65

Empowering sustainability practices through energy transition for sustainable development goal 7: The role of energy patents and natural resources among European Union economies through advanced panel DOI
Jie Chen, Shoujun Huang, Hafiz Waqas Kamran

et al.

Energy Policy, Journal Year: 2023, Volume and Issue: 176, P. 113499 - 113499

Published: March 2, 2023

Language: Английский

Citations

58