Energies | Highly Cited Papers in 2023 in the Section “Electrical Engineering”
1. “A Review of SOH Prediction of Li-Ion Batteries Based on Data-Driven Algorithms”
by Ming Zhang, Dongfang Yang, Jiaxuan Du, Hanlei Sun, Liwei Li, Licheng Wang and Kai Wang
Energies 2023, 16(7), 3167; https://doi.org/10.3390/en16073167
Available online: https://www.mdpi.com/1996-1073/16/7/3167
2. “Three-Leg Quasi-Z-Source Inverter with Input Ripple Suppression for Renewable Energy Application”
by Chuanyu Zhang, Chuanxu Cao, Ruiqi Chen and Jiahui Jiang
Energies 2023, 16(11), 4393; https://doi.org/10.3390/en16114393
Available online: https://www.mdpi.com/1996-1073/16/11/4393
3. “Optimization of Energy Consumption of Industrial Robots Using Classical PID and MPC Controllers”
by Rabab Benotsmane and György Kovács
Energies 2023, 16(8), 3499; https://doi.org/10.3390/en16083499
Available online: https://www.mdpi.com/1996-1073/16/8/3499
4. “A Short-Term Forecasting of Wind Power Outputs Based on Gradient Boosting Regression Tree Algorithms”
by Soyoung Park, Solyoung Jung, Jaegul Lee and Jin Hur
Energies 2023, 16(3), 1132; https://doi.org/10.3390/en16031132
Available online: https://www.mdpi.com/1996-1073/16/3/1132
5. “A Review of Magnetic Gear Technologies Used in Mechanical Power Transmission”
by Gerardo Ruiz-Ponce, Marco A. Arjona, Concepcion Hernandez and Rafael Escarela-Perez
Energies 2023, 16(4), 1721; https://doi.org/10.3390/en16041721
Available online: https://www.mdpi.com/1996-1073/16/4/1721
6. “Peak Electrical Energy Consumption Prediction by ARIMA, LSTM, GRU, ARIMA-LSTM and ARIMA-GRU Approaches”
by Agbessi Akuété Pierre, Salami Adekunlé Akim, Agbosse Kodjovi Semenyo and Birregah Babiga
Energies 2023, 16(12), 4739; https://doi.org/10.3390/en16124739
Available online: https://www.mdpi.com/1996-1073/16/12/4739
7. “Optimal Power Flow Solution for Bipolar DC Networks Using a Recursive Quadratic Approximation”
by Oscar Danilo Montoya, Walter Gil-González and Jesus C. Hernández
Energies 2023, 16(2), 589; https://doi.org/10.3390/en16020589
Available online: https://www.mdpi.com/1996-1073/16/2/589
8. “Analysis of the Influence of the Skin Effect on the Efficiency and Power of the Receiver in the Periodic WPT System”
by Jacek Maciej Stankiewicz
Energies 2023, 16(4), 2009; https://doi.org/10.3390/en16042009
Available online: https://www.mdpi.com/1996-1073/16/4/2009
9. “Forecasting Energy Consumption of a Public Building Using Transformer and Support Vector Regression”
by Junhui Huang and Sakdirat Kaewunruen
Energies 2023, 16(2), 966; https://doi.org/10.3390/en16020966
Available online: https://www.mdpi.com/1996-1073/16/2/966
10. “Analysis and Evaluation of Photovoltaic Cell Defects and Their Impact on Electricity Generation”
by Marek Pavlík, L’ubomír Beňa, Dušan Medved’, Zsolt Čonka and Michal Kolcun
Energies 2023, 16(6), 2576; https://doi.org/10.3390/en16062576
Available online: https://www.mdpi.com/1996-1073/16/6/2576