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Journal Articles
- 2024
[j6]Niphon Kaewdornhan
, Rongrit Chatthaworn:
Predictive Energy Management for Microgrid Using Multi-Agent Deep Deterministic Policy Gradient With Random Sampling. IEEE Access 12: 95071-95090 (2024)- [j5]Somporn Silapan, Sirikullaya Patchanee, Niphon Kaewdornhan, Siripat Somchit, Rongrit Chatthaworn:
Optimal Sizing and Locations of Fast Charging Stations for Electric Vehicles Considering Power System Constraints. IEEE Access 12: 139620-139631 (2024) - 2022
- [j4]Niphon Kaewdornhan, Chitchai Srithapon, Rongrit Chatthaworn:
Electric Distribution Network With Multi-Microgrids Management Using Surrogate-Assisted Deep Reinforcement Learning Optimization. IEEE Access 10: 130373-130396 (2022) - [j3]Sarunyoo Boriratrit, Chitchai Srithapon, Pradit Fuangfoo, Rongrit Chatthaworn:
Metaheuristic Extreme Learning Machine for Improving Performance of Electric Energy Demand Forecasting. Comput. 11(5): 66 (2022) - 2021
- [j2]Chitchai Srithapon, Pradit Fuangfoo, Prasanta K. Ghosh, Apirat Siritaratiwat, Rongrit Chatthaworn:
Surrogate-Assisted Multi-Objective Probabilistic Optimal Power Flow for Distribution Network With Photovoltaic Generation and Electric Vehicles. IEEE Access 9: 34395-34414 (2021) - 2015
- [j1]Rongrit Chatthaworn, Surachai Chaitusaney:
An approach for evaluating the impact of an intermittent renewable energy source on transmission expansion planning. Frontiers Inf. Technol. Electron. Eng. 16(10): 871-882 (2015)
Conference and Workshop Papers
- 2023
- [c1]Sarunyoo Boriratrit, Rongrit Chatthaworn:
Improvement of Long Short-Term Memory via CEEMDAN and Logistic Maps for the Power Consumption Forecasting. ICACI 2023: 1-7
Coauthor Index
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