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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:

Towards smart energy management for community microgrids: Leveraging deep learning in probabilistic forecasting of renewable energy sources
Jhon J. Quiñones, Luis R. Pineda, Jason K. Ostanek, et al.
Energy Conversion and Management (2023) Vol. 293, pp. 117440-117440
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Review of Energy Management Systems in Microgrids
Süleyman Emre Eyimaya, Necmi Altın
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1249-1249
Open Access | Times Cited: 10
Optimal scheduling of renewable energy microgrids: A robust multi-objective approach with machine learning-based probabilistic forecasting
Diego Aguilar, Jhon J. Quiñones, Luis R. Pineda, et al.
Applied Energy (2024) Vol. 369, pp. 123548-123548
Closed Access | Times Cited: 10
Enhancing interpretability in power management: A time-encoded household energy forecasting using hybrid deep learning model
Hamza Mubarak, Sascha Stegen, Feifei Bai, et al.
Energy Conversion and Management (2024) Vol. 315, pp. 118795-118795
Open Access | Times Cited: 9
A backpropagation neural network-based hybrid energy recognition and management system
Xiwen Zhu, Mingxue Li, Xiaoqiang Liu, et al.
Energy (2024) Vol. 297, pp. 131264-131264
Closed Access | Times Cited: 8
Achieving grid resilience through energy storage and model reference adaptive control for effective active power voltage regulation
Anna Jarosz
Energy Conversion and Management X (2024) Vol. 22, pp. 100533-100533
Open Access | Times Cited: 5
Robust deep learning model with attention framework for spatiotemporal forecasting of solar and wind energy production
Md. Shadman Abid, Razzaqul Ahshan, Mohammed Al‐Abri, et al.
Energy Conversion and Management X (2025), pp. 100919-100919
Open Access
Statistical evaluation of a diversified surface solar irradiation data repository and forecasting using a recurrent neural network-hybrid model: A case study in Bhutan
Sangay Gyeltshen, Kiichiro Hayashi, Linwei Tao, et al.
Renewable Energy (2025), pp. 122706-122706
Open Access
Enhancing Weather Forecasting Integrating LSTM and GA
Rita Teixeira, Adelaide Cerveira, E. J. Solteiro Pires, et al.
Applied Sciences (2024) Vol. 14, Iss. 13, pp. 5769-5769
Open Access | Times Cited: 3
An intelligent model for efficient load forecasting and sustainable energy management in sustainable microgrids
Rupesh Rayalu Onteru, Sandeep Vuddanti
Discover Sustainability (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 2
Review of energy management systems and optimization methods for hydrogen‐based hybrid building microgrids
Fahad Ali Sarwar, Ignacio Hernando‐Gil, Ionel Vechiu
Energy Conversion and Economics (2024) Vol. 5, Iss. 4, pp. 259-279
Open Access | Times Cited: 2
A CFD Model for Spatial Extrapolation of Wind Field over Complex Terrain—Wi.Sp.Ex
Dimitrios Michos, Francky Catthoor, Dimitris Foussekis, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4139-4139
Open Access | Times Cited: 2
Electric load forecasting under false data injection attacks via denoising deep learning and generative adversarial networks
Fayezeh Mahmoudnezhad, Arash Moradzadeh, Behnam Mohammadi‐Ivatloo, et al.
IET Generation Transmission & Distribution (2024)
Open Access | Times Cited: 2
Performance analysis of machine learning based prediction models in assessing optimal operation of microgrid under uncertainty
Sukriti Patty, Tanmoy Malakar
Results in Control and Optimization (2024) Vol. 15, pp. 100407-100407
Open Access | Times Cited: 2
Energy‐Sharing Economy with Renewable Integration and Management in Communities—a State‐of‐the‐Art Review
Yuekuan Zhou
Advanced Energy and Sustainability Research (2024)
Open Access | Times Cited: 1
Cross-domain machine transfer learning for capacity aging trajectory prediction of lithium-ion batteries
Caiping Zhang, Jingcai Du, Shuowei Li, et al.
Journal of Power Sources (2024) Vol. 624, pp. 235534-235534
Closed Access | Times Cited: 1
A novel conditional diffusion model for joint source-load scenario generation considering both diversity and controllability
Wei Zhao, Zhen Shao, Shanlin Yang, et al.
Applied Energy (2024) Vol. 377, pp. 124555-124555
Closed Access | Times Cited: 1
DeepEMS: Multimodal optimal energy management of microgrid systems based on a hybrid multi‐stage machine learning model
Ashkan Safari, Farzad Hashemzadeh, Kazem Zare
The Journal of Engineering (2024) Vol. 2024, Iss. 10
Open Access | Times Cited: 1
Energy management in networked microgrids: Leveraging predictive analytics for renewable sources
Nima Khosravi, Adel Oubelaid, Youcef Belkhier
Energy Conversion and Management X (2024), pp. 100828-100828
Open Access | Times Cited: 1
Combined Multi-Component Composite Time Series Power Prediction Model for Distributed Energy Systems Based on Stl Data Decomposition
Tianbo Yang, Shiying He, Xiaojiao Chen, et al.
(2024)
Closed Access
Machine Learning Algorithms for Predictive Maintenance in Hybrid Renewable Energy Microgrid Systems
P.B. Edwin Prabhakar, S. Rajarajeswari, Sonali Antad, et al.
E3S Web of Conferences (2024) Vol. 591, pp. 05002-05002
Open Access
Leveraging Deep Learning Architectures for Accurate Wind Speed and Power Prediction in Renewable Energy Systems
V Alekhya, R J Anandhi, Alok Jain, et al.
(2024), pp. 656-660
Closed Access
Microgrid Bidding Strategy with Uncertain Renewable Sources and Interruptible Loads in Energy and Spinning Reserve Markets
Hossein Shahinzadeh
(2024), pp. 1-7
Closed Access
Efficient prediction uncertainty quantification in dam behavior monitoring with attention-based sequence-to-sequence learning
Minghao Li, Qiubing Ren, Mingchao Li, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112321-112321
Closed Access
Ultra-Short-Term Wind Power Forecasting in Complex Terrain: A Physics-Based Approach
Dimitrios Michos, Francky Catthoor, Dimitris Foussekis, et al.
Energies (2024) Vol. 17, Iss. 21, pp. 5493-5493
Open Access
Short-Term Pv Power Interval Prediction Based on Hybrid Neural Networks Considering the Effect of Seasonal Differences
Junfeng XiangJunfeng
(2023)
Closed Access
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