1. “A Deep Reinforcement Learning Method for Economic Power Dispatch of Microgrid in OPAL-RT Environment”
by Faa-Jeng Lin, Chao-Fu Chang,Yu-Cheng Huang and Tzu-Ming Su
Technologies 2023, 11(4), 96; https://doi.org/10.3390/technologies11040096
Available online: https://www.mdpi.com/2227-7080/11/4/96
2. “An Optimum Load Forecasting Strategy (OLFS) for Smart Grids Based on Artificial Intelligence”
by Asmaa Hamdy Rabie, Ahmed I. Saleh, Said H. Abd Elkhalik and Ali E. Takieldeen
Technologies 2024, 12(2), 19; https://doi.org/10.3390/technologies12020019
Available online: https://www.mdpi.com/2227-7080/12/2/19
3. “Reinforcement-Learning-Based Virtual Inertia Controller for Frequency Support in Islanded Microgrids”
by Mohamed A. Afifi, Mostafa I. Marei and Ahmed M. I. Mohamad
Technologies 2024, 12(3), 39; https://doi.org/10.3390/technologies12030039
Available online: https://www.mdpi.com/2227-7080/12/3/39
4. “Study of an LLC Converter for Thermoelectric Waste Heat Recovery Integration in Shipboard Microgrids”
by Nick Rigogiannis, Ioannis Roussos, Christos Pechlivanis, Ioannis Bogatsis, Anastasios Kyritsis, Nick Papanikolaou and Michael Loupis
Technologies 2024, 12(5), 67; https://doi.org/10.3390/technologies12050067
Available online: https://www.mdpi.com/2227-7080/12/5/67
5. “A New LCL Filter Design Method for Single-Phase Photovoltaic Systems Connected to the Grid via Micro-Inverters”
by Heriberto Adamas-Pérez, Mario Ponce-Silva, Jesús Darío Mina-Antonio, Abraham Claudio-Sánchez, Omar Rodríguez-Benítez and Oscar Miguel Rodríguez-Benítez
Technologies 2024, 12(6), 89; https://doi.org/10.3390/technologies12060089
Available online: https://www.mdpi.com/2227-7080/12/6/89
6. “Open-Source Hardware Design of Modular Solar DC Nanogrid”
by Md Motakabbir Rahman, Sara Khan and Joshua M. Pearce
Technologies 2024, 12(9), 167; https://doi.org/10.3390/technologies12090167
Available online: https://www.mdpi.com/2227-7080/12/9/167
7. “A Real-Time and Online Dynamic Reconfiguration against Cyber-Attacks to Enhance Security and Cost-Efficiency in Smart Power Microgrids Using Deep Learning”
by Elnaz Yaghoubi, Elaheh Yaghoubi, Ziyodulla Yusupov and Mohammad Reza Maghami
Technologies 2024, 12(10), 197; https://doi.org/10.3390/technologies12100197
Available online: https://www.mdpi.com/2227-7080/12/10/197
8. “Optimized Energy Management Strategy for an Autonomous DC Microgrid Integrating PV/Wind/Battery/Diesel-Based Hybrid PSO-GA-LADRC Through SAPF”
by AL-Wesabi Ibrahim, Jiazhu Xu, Abdullrahman A. Al-Shamma’a, Hassan M. Hussein Farh, Imad Aboudrar, Youssef Oubail, Fahad Alaql and Walied Alfraidi
Technologies 2024, 12(11), 226; https://doi.org/10.3390/technologies12110226
Available online: https://www.mdpi.com/2227-7080/12/11/226
