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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Data-driven hybrid approaches for renewable power prediction toward grid decarbonization: Applications, issues and suggestions
Molla Shahadat Hossain Lipu, Md. Sazal Miah, Shaheer Ansari, et al.
Journal of Cleaner Production (2021) Vol. 328, pp. 129476-129476
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Operation optimization for integrated energy system based on hybrid CSP-CHP considering power-to-gas technology and carbon capture system
Xin Li, Texun Li, Li Liu, et al.
Journal of Cleaner Production (2023) Vol. 391, pp. 136119-136119
Closed Access | Times Cited: 99
A comprehensive comparison among metaheuristics (MHs) for geohazard modeling using machine learning: Insights from a case study of landslide displacement prediction
Junwei Ma, Ding Xia, Yankun Wang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105150-105150
Open Access | Times Cited: 94
Hydrogen electrolyser technologies and their modelling for sustainable energy production: A comprehensive review and suggestions
A.Z. Arsad, M. A. Hannan, Ali Q. Al-Shetwi, et al.
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 72, pp. 27841-27871
Closed Access | Times Cited: 72
Energy management schemes, challenges and impacts of emerging inverter technology for renewable energy integration towards grid decarbonization
Sheikh Tanzim Meraj, Samson S. Yu, Md. Siddikur Rahman, et al.
Journal of Cleaner Production (2023) Vol. 405, pp. 137002-137002
Closed Access | Times Cited: 64
A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction
Sujan Ghimire, Thong Nguyen‐Huy, Mohanad S. AL‐Musaylh, et al.
Energy (2023) Vol. 275, pp. 127430-127430
Open Access | Times Cited: 42
Mid-term electricity demand forecasting using improved variational mode decomposition and extreme learning machine optimized by sparrow search algorithm
Tian Gao, Dongxiao Niu, Zhengsen Ji, et al.
Energy (2022) Vol. 261, pp. 125328-125328
Closed Access | Times Cited: 43
Recent developments in green hydrogen–environmental sustainability nexus amidst energy efficiency, green finance, eco-innovation, and digitalization in top hydrogen-consuming economies
Jiahao Shen, Ridwan Lanre Ibrahim, Lukman Raimi, et al.
Energy & Environment (2023), pp. 0958305X2311539-0958305X2311539
Closed Access | Times Cited: 34
Abridgement of Renewables: It's Potential and Contribution to India's GDP
Aarti Dangwal, Sanjay Taneja, Ercan Özen, et al.
International Journal of Sustainable Development and Planning (2022) Vol. 17, Iss. 8, pp. 2357-2363
Open Access | Times Cited: 21
Evaluating the risk of uncertainty in smart grids with electric vehicles using an evolutionary swarm-intelligent algorithm
Gabriel Matos Cardoso Leite, Carolina G. Marcelino, Carlos E. Pedreira, et al.
Journal of Cleaner Production (2023) Vol. 401, pp. 136775-136775
Closed Access | Times Cited: 10
Decarbonization strategies in the maritime industry: An analysis of dual-fuel engine performance and the carbon intensity indicator
Emir Ejder, Samet Dinçer, Yasin Arslanoğlu
Renewable and Sustainable Energy Reviews (2024) Vol. 200, pp. 114587-114587
Closed Access | Times Cited: 2
Carbon emission prediction of 275 cities in China considering artificial intelligence effects and feature interaction: A heterogeneous deep learning modeling framework
Gongquan Zhang, Fangrong Chang, Jie Liu
Sustainable Cities and Society (2024) Vol. 114, pp. 105776-105776
Closed Access | Times Cited: 2
RETRACTED ARTICLE: Analysis of Influence Factors of Marine Fishery Industry Structure Optimization on Carbon Emission Efficiency Based on Depth Feedforward Model
Chen Da-yong
Journal of Experimental Nanoscience (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 6
A State-of-the-Art Review on Electric Power Systems and Digital Transformation
Medine Çolak, Erdal Irmak
Electric Power Components and Systems (2023) Vol. 51, Iss. 11, pp. 1089-1112
Closed Access | Times Cited: 6
University of Pannonia Sustainability index (UPSi) for corporate sustainability
Viktor Sebestyén, Róbert Fejes, E. Tóth, et al.
Environmental and Sustainability Indicators (2024) Vol. 22, pp. 100349-100349
Open Access | Times Cited: 1
Forecasting and Prediction of Solar Energy Generation using Machine Learning Techniques
Ali Jassim Lari
(2024)
Open Access | Times Cited: 1
A framework for developing data-driven correction factors for solar PV systems
Hyeunguk Ahn
Energy (2023) Vol. 290, pp. 130096-130096
Closed Access | Times Cited: 2
Application of a revised integration of methods for wave energy converter and farm location pair mapping
B. Del Río-Gamero, Ophélie Choupin, Noemí Melián-Martel, et al.
Energy Conversion and Management (2024) Vol. 303, pp. 118170-118170
Open Access
Solar Power Prediction Using Soft Voting Based Ensemble Machine Learning Classifier
S. Satyanarayana, A. Nageswar Rao
Lecture notes in electrical engineering (2024), pp. 529-539
Closed Access
Learning causality structures from electricity demand data
Mariano Maisonnave, Fernando Delbianco, Fernando Tohmé, et al.
Energy Systems (2024)
Closed Access
A Framework for Developing Data-Driven Correction Factors for Solar Pv Systems
Hyeunguk Ahn
(2023)
Closed Access | Times Cited: 1
Deep learning–based neural networks for day-ahead power load probability density forecasting
Yanlai Zhou, Di Zhu, Hua Chen, et al.
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 7, pp. 17741-17764
Closed Access | Times Cited: 2
Machine Learning Techniques for Decarbonizing and Managing Renewable Energy Grids
Muqing Wu, Qingsu He, Yuping Liu, et al.
Sustainability (2022) Vol. 14, Iss. 21, pp. 13939-13939
Open Access | Times Cited: 2
Hybrid Techniques for Renewable Energy Prediction
Guilherme Santos Martins, Mateus Giesbrecht
Lecture notes in electrical engineering (2023), pp. 29-59
Closed Access
Evaluation of Weather Datasets for Rural Energy Communities Simulation
Manel Vallès, R. Sáez, Adedamola Shobo, et al.
34th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2021) (2023), pp. 1725-1734
Open Access
Wind power generation prediction during the COVID-19 epidemic based on novel hybrid deep learning techniques
Lingshu Zhong, Pan Wu, Mingyang Pei
Renewable Energy (2023) Vol. 222, pp. 119863-119863
Closed Access
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