
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:
Power generation forecasting using deep learning CNN-based BILSTM technique for renewable energy systems
T. Anu Shalini, B. Sri Revathi
Journal of Intelligent & Fuzzy Systems (2022) Vol. 43, Iss. 6, pp. 8247-8262
Closed Access | Times Cited: 7
T. Anu Shalini, B. Sri Revathi
Journal of Intelligent & Fuzzy Systems (2022) Vol. 43, Iss. 6, pp. 8247-8262
Closed Access | Times Cited: 7
Showing 7 citing articles:
Optimum Power Forecasting Technique for Hybrid Renewable Energy Systems Using Deep Learning
Shashank Singh, Vinitha Hannah Subburaj, K. Sivakumar, et al.
Electric Power Components and Systems (2024), pp. 1-18
Closed Access | Times Cited: 10
Shashank Singh, Vinitha Hannah Subburaj, K. Sivakumar, et al.
Electric Power Components and Systems (2024), pp. 1-18
Closed Access | Times Cited: 10
DeepFore: A Deep Reinforcement Learning Approach for Power Forecasting in Renewable Energy Systems
Jayarama Pradeep, S. Raja Ratna, P.K. Dhal, et al.
Electric Power Components and Systems (2024), pp. 1-17
Closed Access | Times Cited: 8
Jayarama Pradeep, S. Raja Ratna, P.K. Dhal, et al.
Electric Power Components and Systems (2024), pp. 1-17
Closed Access | Times Cited: 8
Optimal Configuration Planning of Multi-Energy Systems using Optimization-based Deep Learning Technique
U. M. Fernandes Dimlo, R. Umanesan, Jonnadula Narasimharao, et al.
Electric Power Components and Systems (2023) Vol. 51, Iss. 14, pp. 1506-1521
Closed Access | Times Cited: 5
U. M. Fernandes Dimlo, R. Umanesan, Jonnadula Narasimharao, et al.
Electric Power Components and Systems (2023) Vol. 51, Iss. 14, pp. 1506-1521
Closed Access | Times Cited: 5
Hybrid Deep Neural Network Approaches for Power Quality Analysis in Electric Arc Furnaces
Manuela Pănoiu, Caius Pănoiu
Mathematics (2024) Vol. 12, Iss. 19, pp. 3071-3071
Open Access | Times Cited: 1
Manuela Pănoiu, Caius Pănoiu
Mathematics (2024) Vol. 12, Iss. 19, pp. 3071-3071
Open Access | Times Cited: 1
Performance prediction of an auto-cascade refrigeration system using multiple-algorithmic approaches
Wenlian Ye, Liu Yang, Zhongyou Zhou, et al.
Energy (2024) Vol. 314, pp. 134197-134197
Closed Access
Wenlian Ye, Liu Yang, Zhongyou Zhou, et al.
Energy (2024) Vol. 314, pp. 134197-134197
Closed Access
Intelligent Controller Design and Fault Prediction for Renewable Energy Sources Using Bi-directional GRU and GEO Methods
Parijat Saurabh, K. Velmurugan, N. Nagabhooshanam, et al.
Electric Power Components and Systems (2023) Vol. 52, Iss. 2, pp. 277-291
Closed Access | Times Cited: 1
Parijat Saurabh, K. Velmurugan, N. Nagabhooshanam, et al.
Electric Power Components and Systems (2023) Vol. 52, Iss. 2, pp. 277-291
Closed Access | Times Cited: 1
Wind energy forecasting based on integration of CNN and Bidirectional RNN
R. Udayakumar, S. Jayasree, Shruti Bhargava Choubey, et al.
(2023), pp. 421-426
Closed Access | Times Cited: 1
R. Udayakumar, S. Jayasree, Shruti Bhargava Choubey, et al.
(2023), pp. 421-426
Closed Access | Times Cited: 1