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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:

Designing a Robust and Accurate Model for Consumer-Centric Short-Term Load Forecasting in Microgrid Environment
Ajit Muzumdar, Chirag Modi, G. M. Madhu, et al.
IEEE Systems Journal (2021) Vol. 16, Iss. 2, pp. 2448-2459
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques
Raniyah Wazirali, Elnaz Yaghoubi, Mohammed Shadi S. Abujazar, et al.
Electric Power Systems Research (2023) Vol. 225, pp. 109792-109792
Closed Access | Times Cited: 110
FPSeq2Q: Fully Parameterized Sequence to Quantile Regression for Net-Load Forecasting With Uncertainty Estimates
Anthony Faustine, Lucas Pereira
IEEE Transactions on Smart Grid (2022) Vol. 13, Iss. 3, pp. 2440-2451
Closed Access | Times Cited: 29
Intelligent wild geese algorithm with deep learning driven short term load forecasting for sustainable energy management in microgrids
B. Deepanraj, N. Senthilkumar, T. Jarin, et al.
Sustainable Computing Informatics and Systems (2022) Vol. 36, pp. 100813-100813
Closed Access | Times Cited: 28
Probabilistic load forecasting with a non-crossing sparse-group Lasso-quantile regression deep neural network
Shixiang Lü, Qifa Xu, Cuixia Jiang, et al.
Energy (2021) Vol. 242, pp. 122955-122955
Closed Access | Times Cited: 35
A novel probabilistic gradient boosting model with multi-approach feature selection and iterative seasonal trend decomposition for short-term load forecasting
Priyesh Saini, S. K. Parida
Energy (2024) Vol. 294, pp. 130975-130975
Closed Access | Times Cited: 4
A Novel Forecasting Approach to Schedule Electric Vehicle Charging Using Real‐Time Data
Arpana Singh, Uma Nangia, M. Rizwan
International Journal of Numerical Modelling Electronic Networks Devices and Fields (2025) Vol. 38, Iss. 2
Closed Access
Machine Learning Techniques for Demand Forecasting in the Electricity Sector
Firuz Ahamed Nahid, Hussain Ahmed Chowdhury, Mohammad Nayeem Jahangir
(2025), pp. 131-172
Closed Access
Evaluation and Performance Metrics for Forecasting Renewable Power Generation, Demand, and Electricity Price
Firuz Ahamed Nahid, Mohammad Nayeem Jahangir, Harun Chowdhury, et al.
(2025), pp. 173-218
Closed Access
Optimised extreme gradient boosting model for short term electric load demand forecasting of regional grid system
Qinghe Zhao, Wen Xiang, Boyan Huang, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 21
Graph Neural Network-Based Short‑Term Load Forecasting with Temporal Convolution
Chenchen Sun, Ning Yan, Derong Shen, et al.
Data Science and Engineering (2023) Vol. 9, Iss. 2, pp. 113-132
Open Access | Times Cited: 11
Forecasting Tariff Rates and Enhancing Power Quality in Microgrids: The Synergistic Role of LSTM and UPQC
Satyabrata Sahoo, Sarat Chandra Swain, Ritesh Dash, et al.
Engineering Technology & Applied Science Research (2024) Vol. 14, Iss. 1, pp. 12506-12511
Open Access | Times Cited: 3
A Deep Reinforcement Learning Method for Economic Power Dispatch of Microgrid in OPAL-RT Environment
Faa‐Jeng Lin, Chao-Fu Chang, Yucheng Huang, et al.
Technologies (2023) Vol. 11, Iss. 4, pp. 96-96
Open Access | Times Cited: 6
The true value of a forecast: Assessing the impact of accuracy on local energy communities
Dominik Putz, Michael Gumhalter, Hans Auer
Sustainable Energy Grids and Networks (2022) Vol. 33, pp. 100983-100983
Open Access | Times Cited: 9
Residential Load Forecasting Using Modified Federated Learning Algorithm
Keon-Jun Park, Sung-Yong Son
IEEE Access (2023) Vol. 11, pp. 40675-40691
Open Access | Times Cited: 5
A Novel Short-Term Residential Load Forecasting Methodology using Two-Stage Stacked LSTM and Hampel Filter
Chinmay Shah, Richard Wies
2021 IEEE Power & Energy Society General Meeting (PESGM) (2022), pp. 1-5
Closed Access | Times Cited: 8
Prophet–CEEMDAN–ARBiLSTM-Based Model for Short-Term Load Forecasting
Jindong Yang, Xiran Zhang, Wenhao Chen, et al.
Future Internet (2024) Vol. 16, Iss. 6, pp. 192-192
Open Access | Times Cited: 1
Optimizing Microgrid Energy Management: Intelligent Techniques
Amir Meydani, Hossein Shahinzadeh, Hamed Nafisi, et al.
(2024), pp. 1-18
Closed Access | Times Cited: 1
Integrated Energy System Load Forecasting with Spatially Transferable Loads
Zhenwei Ding, Hongyuan Qing, Kaifeng Zhou, et al.
Energies (2024) Vol. 17, Iss. 19, pp. 4843-4843
Open Access | Times Cited: 1
Research on fault diagnosis of microgrid based on variational sparse Bayesian fuzzy H-network
Aoran Xu, Cailian Gu, Liu Baoliang, et al.
International Journal of Low-Carbon Technologies (2021) Vol. 17, pp. 1-10
Closed Access | Times Cited: 7
Energy Storage and Forecasting Error Impact Analysis In Photovoltaic Equipped Residential Nano-Grids
Hossein Nourollahi Hokmabad, Oleksandr Husev, Juri Belikov, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 2
Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter
Mena ElMenshawy, Ahmed Massoud
IEEE Access (2023) Vol. 11, pp. 103916-103924
Open Access | Times Cited: 2
Advanced Forecasting Techniques for Smart Grids to Enhance Energy Efficiency and Sustainability
John Amanesi Abubakar, Armir Bujari, Antonio Corradi
(2024), pp. 257-265
Closed Access
Artificial Intelligence Techniques for Load Forecasting in an Electric Utility
Sri R. Kolla, Xiaohan Ni
(2024), pp. 580-585
Closed Access
Short-term customer-centric electric load forecasting for low carbon microgrids using a hybrid model
Firuz Ahamed Nahid, Weerakorn Ongsakul, Jai Govind Singh, et al.
Energy Systems (2024)
Closed Access
Load forecasting of microgrid based on an adaptive cuckoo search optimization improved neural network
Liping Fan, Pengju Yang
Electronic Research Archive (2024) Vol. 32, Iss. 11, pp. 6364-6378
Open Access
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