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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:

Hybrid Deep Learning Applied on Saudi Smart Grids for Short-Term Load Forecasting
Abdullah Alrasheedi, Abdulaziz Almalaq
Mathematics (2022) Vol. 10, Iss. 15, pp. 2666-2666
Open Access | Times Cited: 18

Showing 18 citing articles:

Methods of Forecasting Electric Energy Consumption: A Literature Review
Roman V. Klyuev, Ирбек Джабраилович Моргоев, Angelika Morgoeva, et al.
Energies (2022) Vol. 15, Iss. 23, pp. 8919-8919
Open Access | Times Cited: 66
A comprehensive review of advancements in green IoT for smart grids: Paving the path to sustainability
P. Pandiyan, S. Saravanan, Raju Kannadasan, et al.
Energy Reports (2024) Vol. 11, pp. 5504-5531
Open Access | Times Cited: 11
Data-driven short term load forecasting with deep neural networks: Unlocking insights for sustainable energy management
Waqar Waheed, Qingshan Xu
Electric Power Systems Research (2024) Vol. 232, pp. 110376-110376
Closed Access | Times Cited: 10
Short-Term Load Forecasting in Smart Grids Using Hybrid Deep Learning
Mashael M. Asiri, Ghadah Aldehim, Faiz Abdullah Alotaibi, et al.
IEEE Access (2024) Vol. 12, pp. 23504-23513
Open Access | Times Cited: 9
Data-Driven Short-Term Load Forecasting for Multiple Locations: An Integrated Approach
Anik Baul, Gobinda Chandra Sarker, Prokash Sikder, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 2, pp. 12-12
Open Access | Times Cited: 4
Advancements in Household Load Forecasting: Deep Learning Model with Hyperparameter Optimization
Hamdi A. Al-Jamimi, Galal M. BinMakhashen, Muhammed Y. Worku, et al.
Electronics (2023) Vol. 12, Iss. 24, pp. 4909-4909
Open Access | Times Cited: 6
Design of a Dynamic Feedback LSTM Electricity Price Forecast of Smart Grids
Ashkan Safari, Hamed Kheirandish Gharehbagh, Morteza Nazari‐Heris, et al.
Power systems (2024), pp. 327-344
Closed Access | Times Cited: 1
Comparative Analysis of Data-Driven Algorithms for Building Energy Planning via Federated Learning
Mazhar Ali, Ankit Kumar Singh, Ajit Kumar, et al.
Energies (2023) Vol. 16, Iss. 18, pp. 6517-6517
Open Access | Times Cited: 4
Security Baseline for Substation Automation Systems
Josef Horálek, Vladimír Soběslav
Sensors (2023) Vol. 23, Iss. 16, pp. 7125-7125
Open Access | Times Cited: 3
Predicting Short-Term Energy Demand in the Smart Grid: A Deep Learning Approach for Integrating Renewable Energy Sources in Line with Sdgs 7, 9, and 13
M. Saef Ullah Miah, Junaida Sulaiman, Md. Imamul Islam, et al.
(2023)
Open Access | Times Cited: 2
Analysis and Functioning of Smart Grid for Enhancing Energy Efficiency Using OptimizationTechniques with IoT
Sunkari Pradeep, S. Rama Krishna, Muthyala Samhitha Reddy, et al.
(2023), pp. 316-321
Closed Access | Times Cited: 2
An efficient short term load demand forecasting using a novel parallel CNN-BiLSTM hybrid neural network for Bangladesh perspective
Md. Thesun Al-Amin, Al-Amin Hossain, Tahmid Jawad, et al.
AIP conference proceedings (2024) Vol. 3245, pp. 020009-020009
Closed Access
Short‐term energy forecasting using deep neural networks: Prospects and challenges
Shewit Tsegaye, Sanjeevikumar Padmanaban, Lina Bertling Tjernberg, et al.
The Journal of Engineering (2024) Vol. 2024, Iss. 11
Open Access
Power Load Forecasting and Resource Regulation of Two-Wheeled Vehicle Battery Swap Cabinets and Charging Stations in Virtual Power Plants Using Machine Learning Algorithms
JunWei Jia, LinSu Shi, L.-C. Lin, et al.
(2024), pp. 189-194
Closed Access
Short Term Load Forecasting for Smart Distribution System Planning Using Deep Neural Networks: A Hybrid Approach
Katkar Siddhant Satyapal, Arunkumar Patil, Kunal Samad, et al.
International Journal of Electrical and Electronics Engineering (2024) Vol. 11, Iss. 5, pp. 138-149
Open Access
Shallow Learning vs Deep Learning in Smart Grid Applications
Musa Yılmaz, Josep M. Guerrero
(2024), pp. 257-272
Closed Access
Forecasting Shifts in Europe's Renewable and Fossil Fuel Markets Using Deep Learning Methods
Yonghong Liu, Muhammad S. Saleem, Javed Rashid, et al.
Energy Science & Engineering (2024)
Open Access
Efficient Extraction and Automated Thyroid Prediction with an Optimized Gated Recurrent Unit in Recurrent Neural Networks
Et al. Nagavali Saka
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 9, pp. 3744-3757
Open Access
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