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)

Linear Least-Squares Method for Conservation Voltage Reduction in Distribution Systems With Photovoltaic Inverters. - Van Tu Dao; Surachai Chaitusaney; Hanh Thi Nguyet Nguyen (IEEE Trans. Smart Grid, 2017)

Annual Degradation Rate Analysis of Mono-Si Photovoltaics Systems in Thailand Using the Mixed Effects Method. - Ngoc Thien Le; Widhyakorn Asdornwised; Surachai Chaitusaney; Watit Benjapolakul (IEEE Access, 2021)

P2P Energy Trading: An Optimal Solution for Energy Shortage in Pakistan. - Waqas Amin; Fayyaz Ahmad; Khalid Umer; Arsalan Habib Khawaja; Muhammad Afzal 002; Syed Adrees Ahmed; Surachai Chaitusaney (IEEE Access, 2022)

An Effective Pricing Mechanism for Electricity Trading Considering Customer Preference and Reserved Price in Direct P2P Electricity Market Under Uncertainty in Grid Supply. - Waqas Amin; Fayyaz Ahmad; Khalid Umer; Arsalan Habib Khawaja; Muhammad Afzal 002; Syed Adress Ahmad; Surachai Chaitusaney (IEEE Access, 2022)

Centralized Optimal Operations of Local Energy Trading Market in Distribution System. - Pikkanate Angaphiwatchawal; Surachai Chaitusaney (IEEE Access, 2022)

The Impact of Variable Renewable Energy Integration on Total System Costs and Electricity Generation Revenue. - Veeraya Imcharoenkul; Surachai Chaitusaney (IEEE Access, 2022)

Future Distribution Power Flow Scenario Generation Method Using Generative Adversarial Network Considering Correlation Between DERs. - Hiroki Ichinomiya; Kenichi Kawabe; Surachai Chaitusaney (ISGT, 2023)

Deployment of Smart Specimen Transport System Using RFID and NB-IoT Technologies for Hospital Laboratory. - Ngoc Thien Le; Mya Myet Thwe Chit; Thanh Le Truong; Atchasai Siritantikorn; Narisorn Kongruttanachok; Widhyakorn Asdornwised; Surachai Chaitusaney; Watit Benjapolakul (Sensors, 2023)

Sooty Tern Optimization Algorithm-Based Deep Learning Model for Diagnosing NSCLC Tumours. - Muhammad Asim Saleem; Ngoc Thien Le; Widhyakorn Asdornwised; Surachai Chaitusaney; Ashir Javeed; Watit Benjapolakul (Sensors, 2023)

Network Usage Charge Framework for Peer-to-Peer Energy Trading in Distribution Systems. - Surapad Larbwisuthisaroj; Surachai Chaitusaney (IEEE Access, 2024)

Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages. - Muhammad Asim Saleem; Ashir Javeed; Wasan Akarathanawat; Aurauma Chutinet; Nijasri Charnnarong Suwanwela; Widhyakorn Asdornwised; Surachai Chaitusaney; Sunchai Deelertpaiboon; Wattanasak Srisiri; Watit Benjapolakul; Pasu Kaewplung (IEEE Access, 2024)

Corrections to "Innovations in Stroke Identification: A Machine Learning-Based Diagnostic Model Using Neuroimages". - Muhammad Asim Saleem; Ashir Javeed; Wasan Akarathanawat; Aurauma Chutinet; Nijasri Charnnarong Suwanwela; Widhyakorn Asdornwised; Surachai Chaitusaney; Sunchai Deelertpaiboon; Wattanasak Srisiri; Watit Benjapolakul; Pasu Kaewplung (IEEE Access, 2024)

The Application of Artificial Intelligence in Spectrum Management and the Analytics of Frequency Data Using Big Data Technology. - Rathapon Saruthirathanaworakun; Ngoc Thien Le; Thanh Le Truong; Wattanasak Srisiri; Surachai Chaitusaney; Pasu Kaewplung; Watit Benjapolakul (IEEE Access, 2024)

Optimal Operations of Local Energy Market With Electric Vehicle Charging and Incentives for Local Grid Services. - Arnon Teawnarong; Pikkanate Angaphiwatchawal; Surachai Chaitusaney (IEEE Access, 2024)

Generative Adversarial Networks for Stochastic Grid Planning Considering Individual Distributed Energy Resource. - Hiroki Ichinomiya; Kenichi Kawabe; Surachai Chaitusaney (IEEE Access, 2025)

Optimal Flexibility Provision of Electric Vehicle and Photovoltaic Systems Through Probabilistic Forecasting and Unsuccessful Day-Ahead Market Integration. - Anulekha Saha; Arnon Teawnarong; Surachai Chaitusaney (IEEE Access, 2025)

A Hybrid Prediction Model Integrating Artificial Intelligence and Geospatial Analysis for Disaster Management. - Muhammad Asim Saleem; Watit Benjapolakul; Wattanasak Srisiri; Surachai Chaitusaney; Pasu Kaewplung (IEEE Access, 2025)

Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning. - Muhammad Asim Saleem; Ashir Javeed; Watit Benjapolakul; Wattanasak Srisiri; Surachai Chaitusaney; Pasu Kaewplung (IEEE Access, 2025)