Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

An improved short term load forecasting with ranker based feature selection technique
Siva Sankari Subbiah, C. Jayakumar
Journal of Intelligent & Fuzzy Systems (2020) Vol. 39, Iss. 5, pp. 6783-6800
Closed Access | Times Cited: 20

Showing 20 citing articles:

Optimized hybrid ensemble learning approaches applied to very short-term load forecasting
Marcos Yamasaki, Roberto Zanetti Freire, Laio Oriel Seman, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 155, pp. 109579-109579
Open Access | Times Cited: 81
Deep learning based short term load forecasting with hybrid feature selection
Siva Sankari Subbiah, C. Jayakumar
Electric Power Systems Research (2022) Vol. 210, pp. 108065-108065
Closed Access | Times Cited: 41
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: 9
Hybridization of ResNet with YOLO classifier for automated paddy leaf disease recognition: An optimized model
Gangadevi Ganesan, C. Jayakumar
Journal of Field Robotics (2022) Vol. 39, Iss. 7, pp. 1085-1109
Closed Access | Times Cited: 36
Deep Learning for Wind Speed Forecasting Using Bi-LSTM with Selected Features
Siva Sankari Subbiah, Senthil Kumar Paramasivan, Karmel Arockiasamy, et al.
Intelligent Automation & Soft Computing (2022) Vol. 35, Iss. 3, pp. 3829-3844
Open Access | Times Cited: 25
Advanced Short-Term Load Forecasting with XGBoost-RF Feature Selection and CNN-GRU
Jingping Cui, Wei Kuang, Kai Geng, et al.
Processes (2024) Vol. 12, Iss. 11, pp. 2466-2466
Open Access | Times Cited: 4
Deep Learning Based Recurrent Neural Networks to Enhance the Performance of Wind Energy Forecasting: A Review
Senthil Kumar Paramasivan
Revue d intelligence artificielle (2021) Vol. 35, Iss. 1, pp. 1-10
Open Access | Times Cited: 21
Opportunities and Challenges of Feature Selection Methods for High Dimensional Data: A Review
Siva Sankari Subbiah, C. Jayakumar
Ingénierie des systèmes d information (2021) Vol. 26, Iss. 1, pp. 67-77
Open Access | Times Cited: 19
Day-ahead dynamic thermal line rating forecasting and power transmission capacity calculation based on ForecastNet
Zhengnan Gao, Shubo Hu, Hui Sun, et al.
Electric Power Systems Research (2023) Vol. 220, pp. 109350-109350
Closed Access | Times Cited: 6
A modified deep residual network for short-term load forecasting
V. Y. Kondaiah, B. Saravanan
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 6
Short-Term Net Load Forecasting for Regions with Distributed Photovoltaic Systems Based on Feature Reconstruction
Xudong Zheng, Ming Yang, Yixiao Yu, et al.
Applied Sciences (2023) Vol. 13, Iss. 16, pp. 9064-9064
Open Access | Times Cited: 3
Short-Term Load Forecasting Using Random Forest with Entropy-Based Feature Selection
Siva Sankari Subbiah, C. Jayakumar
Lecture notes in electrical engineering (2021), pp. 73-80
Closed Access | Times Cited: 7
Comparative Study of Supervised Machine Learning Algorithms on Thoracic Surgery Patients based on Ranker Feature Algorithms
Hezha M.Tareq Abdulhadi, Hardi Sabah Talabani
UHD Journal of Science and Technology (2021) Vol. 5, Iss. 2, pp. 66-74
Open Access | Times Cited: 7
Prediction of air quality pollutants using artificial intelligence techniques: A review
Siva Sankari Subbiah, Senthil Kumar Paramasivan
AIP conference proceedings (2024) Vol. 3040, pp. 120007-120007
Open Access
Comparative Analysis of Short-Term Load Forecasting Using Machine Learning Techniques
Hagos L. Shifare, Ronak Doshi, Amit Ved
Communications in computer and information science (2024), pp. 117-133
Closed Access
Xu Weight is All that Models Need! A Short-Term Power Load Forecasting Method Based on a Novel Adaptive Feature Selection Method and Xu Weight
Jingqi Xu, Xueman Wang, Hui Hou
(2024)
Closed Access
Assessing Feature Importance for Short-Term Prediction of Electricity Demand in Medium-Voltage Loads
Giuliano Armano, Paolo Attilio Pegoraro
Energies (2022) Vol. 15, Iss. 2, pp. 549-549
Open Access | Times Cited: 2
A State-of-the-Art Review of Time Series Forecasting Using Deep Learning Approaches
Radhika Chandrasekaran, Senthil Kumar Paramasivan
International Journal on Recent and Innovation Trends in Computing and Communication (2022) Vol. 10, Iss. 12, pp. 92-105
Open Access | Times Cited: 2
Sector-wise expert input selection for electricity load forecasting
Megha Sharma, Namita Mittal, Anukram Mishra, et al.
(2022)
Closed Access | Times Cited: 2
Short-Term Load Forecast Based on Feature Reconstruction and Bidirectional LSTM
Xudong Zheng, Ming Yang, Yixiao Yu, et al.
2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) (2023), pp. 1101-1106
Closed Access
Page 1

Scroll to top