An approach for evaluating the impact of an intermittent renewable energy source on transmission expansion planning. - Rongrit Chatthaworn; Surachai Chaitusaney (Frontiers Inf. Technol. Electron. Eng., 2015)

Surrogate-Assisted Multi-Objective Probabilistic Optimal Power Flow for Distribution Network With Photovoltaic Generation and Electric Vehicles. - Chitchai Srithapon; Pradit Fuangfoo; Prasanta K. Ghosh; Apirat Siritaratiwat; Rongrit Chatthaworn (IEEE Access, 2021)

Electric Distribution Network With Multi-Microgrids Management Using Surrogate-Assisted Deep Reinforcement Learning Optimization. - Niphon Kaewdornhan; Chitchai Srithapon; Rongrit Chatthaworn (IEEE Access, 2022)

Metaheuristic Extreme Learning Machine for Improving Performance of Electric Energy Demand Forecasting. - Sarunyoo Boriratrit; Chitchai Srithapon; Pradit Fuangfoo; Rongrit Chatthaworn (Comput., 2022)

Improvement of Long Short-Term Memory via CEEMDAN and Logistic Maps for the Power Consumption Forecasting. - Sarunyoo Boriratrit; Rongrit Chatthaworn (ICACI, 2023)

Predictive Energy Management for Microgrid Using Multi-Agent Deep Deterministic Policy Gradient With Random Sampling. - Niphon Kaewdornhan; Rongrit Chatthaworn (IEEE Access, 2024)

Optimal Sizing and Locations of Fast Charging Stations for Electric Vehicles Considering Power System Constraints. - Somporn Silapan; Sirikullaya Patchanee; Niphon Kaewdornhan; Siripat Somchit; Rongrit Chatthaworn (IEEE Access, 2024)

Enhanced Transmission Expansion Planning With a High Confidence Strategy Considering Fluctuations in Solar PV Generation and Electricity Demand. - Siripat Somchit; Niphon Kaewdornhan; Rongrit Chatthaworn (IEEE Access, 2025)