4 June 2024
Applied Sciences | Top 10 Cited Papers in 2023 in the Section “Energy Science and Technology”
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Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Original Submission Date Received: .
1. “A Review of Recent Progress of Carbon Capture, Utilization, and Storage (CCUS) in China”
by Jia Yao, Hongdou Han, Yang Yang, Yiming Song and Guihe Li
Appl. Sci. 2023, 13(2), 1169; https://doi.org/10.3390/app13021169
Available online: https://www.mdpi.com/2076-3417/13/2/1169
2. “Modern MultiPort Converter Technologies: A Systematic Review”
by Levon Gevorkov, José Luis Domínguez-García, Lluis Trilla Romero and Àlber Filbà Martínez
Appl. Sci. 2023, 13(4), 2579; https://doi.org/10.3390/app13042579
Available online: https://www.mdpi.com/2076-3417/13/4/2579
3. “Load Forecasting with Machine Learning and Deep Learning Methods”
by Moisés Cordeiro-Costas, Daniel Villanueva, Pablo Eguía-Oller, Miguel Martínez-Comesaña and Sérgio Ramos
Appl. Sci. 2023, 13(13), 7933; https://doi.org/10.3390/app13137933
Available online: https://www.mdpi.com/2076-3417/13/13/7933
4. “A Hybrid Grey Wolf Optimization Algorithm Using Robust Learning Mechanism for Large Scale Economic Load Dispatch with Vale-Point Effect”
by Tzu-Ching Tai, Chen-Cheng Lee and Cheng-Chien Kuo
Appl. Sci. 2023, 13(4), 2727; https://doi.org/10.3390/app13042727
Available online: https://www.mdpi.com/2076-3417/13/4/2727
5. “Estimating the Energy Savings of Energy Efficiency Actions with Ensemble Machine Learning Models”
by Elissaios Sarmas, Evangelos Spiliotis, Nikos Dimitropoulos, Vangelis Marinakis and Haris Doukas
Appl. Sci. 2023, 13(4), 2749; https://doi.org/10.3390/app13042749
Available online: https://www.mdpi.com/2076-3417/13/4/2749
6. “A Deep Reinforcement Learning Approach for Efficient, Safe and Comfortable Driving”
by Dinesh Cyril Selvaraj, Shailesh Hegde, Nicola Amati, Francesco Deflorio and Carla Fabiana Chiasserini
Appl. Sci. 2023, 13(9), 5272; https://doi.org/10.3390/app13095272
Available online: https://www.mdpi.com/2076-3417/13/9/5272
7. “Lithium-Ion Battery Health Estimation Using an Adaptive Dual Interacting Model Algorithm for Electric Vehicles”
by Richard Bustos, S. Andrew Gadsden, Mohammad Al-Shabi and Shohel Mahmud
Appl. Sci. 2023, 13(2), 1132; https://doi.org/10.3390/app13021132
Available online: https://www.mdpi.com/2076-3417/13/2/1132
8. “Evaluation and Validation of Photovoltaic Potential Based on Time and Pathway of Solar-Powered Electric Vehicle”
by Chanwook Park, Haneul Park, Hwanhee Jeon, Kyoik Choi and Jangwon Suh
Appl. Sci. 2023, 13(2), 1025; https://doi.org/10.3390/app13021025
Available online: https://www.mdpi.com/2076-3417/13/2/1025
9. “Characterization of the Products of the Catalytic Pyrolysis of Discarded COVID-19 Masks over Sepiolite”
by Francisco Ortega, María Ángeles Martín-Lara, Héctor J. Pula, Montserrat Zamorano, Mónica Calero and Gabriel Blázquez
Appl. Sci. 2023, 13(5), 3188; https://doi.org/10.3390/app13053188
Available online: https://www.mdpi.com/2076-3417/13/5/3188
10. “Dynamic Modelling and Energy, Economic, and Environmental Analysis of a Greenhouse Supplied by Renewable Sources”
by Francesco Calise, Francesco Liberato Cappiello, Luca Cimmino and Maria Vicidomini
Appl. Sci. 2023, 13(11), 6584; https://doi.org/10.3390/app13116584
Available online: https://www.mdpi.com/2076-3417/13/11/6584