A fuzzy multiple linear regression based loss formula in electric distribution systems. - Ying-Yi Hong; Zuei-Tien Chao; Miin-Shen Yang (Fuzzy Sets Syst., 2004)

FPGA Implementation for Real-Time Empirical Mode Decomposition. - Ying-Yi Hong; Yu-Qing Bao (IEEE Trans. Instrum. Meas., 2012)

Multi-Objective Air-Conditioning Control Considering Fuzzy Parameters Using Immune Clonal Selection Programming. - Ying-Yi Hong; Jie-Kai Lin; Ching-Ping Wu; Chi-Cheng Chuang (IEEE Trans. Smart Grid, 2012)

Short-Term Scheduling of Reactive Power Controllers Using a Hybrid Taguchi-Genetic Algorithm. - Chao-Rong Chen; Yi-Cheng Chang; Chi-Chen Huang; Ying-Yi Hong; Faa-Jeng Lin (SMC, 2013)

Demand Response Optimization for Smart Home Scheduling Using Genetic Algorithm. - Chao-Rong Chen; Ming-Jen Lan; Chi-Chen Huang; Ying-Yi Hong; Steven H. Low (SMC, 2013)

Implementation of demand response in home energy management system using immune clonal selection algorithm. - Ying-Yi Hong; Chao-Rong Chen; Hong-Wei Yang (CEC, 2015)

Multi-scenario passive filter planning in factory distribution system by using Markov model and probabilistic Sugeno fuzzy reasoning. - Ying-Yi Hong; Ching-Sheng Chiu; Shi-Wei Huang (Appl. Soft Comput., 2016)

Locating high-impedance fault in a smart distribution system using wavelet entropy and hybrid self-organizing mapping network. - Ying-Yi Hong; Wei-Shun Huang; Yung-Ruei Chang; Yih-Der Lee; Der-Chuan Ouyang (ISGT Europe, 2017)

Optimized Interval Type-II Fuzzy Controller-Based STATCOM for Voltage Regulation in Power Systems With Photovoltaic Farm. - Ying-Yi Hong; Meng-Ju Liu (IEEE Access, 2018)

Design and Realization of Controller for Static Switch in Microgrid Using Wavelet-Based TSK Reasoning. - Ying-Yi Hong; Jun-Liang Gu; Fu-Yuan Hsu (IEEE Trans. Ind. Informatics, 2018)

Markov Model-Based Energy Storage System Planning in Power Systems. - Ying-Yi Hong; Man-Yin Wu (IEEE Syst. J., 2019)

Roles of Pumped Hydro Storages in Optimal Scheduling of Future Taiwan Power System with Highly Penetrated Renewable Energy Resources. - Heng-Yi Su; Jian-Hong Liu; Chia-Chi Chu; Sheng-Huei Lee; Ying-Yi Hong; Yu-Jen Lin (IAS, 2020)

Day-Ahead Solar Irradiation Forecasting Utilizing Gramian Angular Field and Convolutional Long Short-Term Memory. - Ying-Yi Hong; John Joel F. Martinez; Arnel C. Fajardo (IEEE Access, 2020)

Locational Marginal Price Forecasting Using Deep Learning Network Optimized by Mapping-Based Genetic Algorithm. - Ying-Yi Hong; Jonathan V. Taylar; Arnel C. Fajardo (IEEE Access, 2020)

Fault Detection, Classification, and Location by Static Switch in Microgrids Using Wavelet Transform and Taguchi-Based Artificial Neural Network. - Ying-Yi Hong; Mark Tristan Angelo M. Cabatac (IEEE Syst. J., 2020)

Multiobjective Multiscenario Under-Frequency Load Shedding in a Standalone Power System. - Ying-Yi Hong; Manh-Tuan Nguyen (IEEE Syst. J., 2020)

Reliability of a Power System With High Penetration of Renewables: A Scenario-Based Study. - Ying-Yi Hong; Chin-I Wu; Tzu-Hsun Hsiao; Chang-Shien Lin (IEEE Access, 2021)

Analytic Guided Magnetic-Thermal Kriging Surrogate Model and Multi-Objective Optimization of Synchronous Generator. - Ruiye Li; Peng Cheng; Hai Lan; Yige Ren; Ying-Yi Hong (IECON, 2022)

Hierarchical Energy Management in Islanded Networked Microgrids. - Ying-Yi Hong; Francisco I. Alano (IEEE Access, 2022)

Buck-Boost Converter for Voltage Regulation Using Online-Tuned LSTM-Based Controller. - Ying-Yi Hong; Francisco I. Alano; Yih-Der Lee; Jheng-Lun Jiang; Jin-Nan Yeh (IECON, 2023)

A Deep CNN-LSTM Model Tuned by PPSO for Spatiotemporal Solar GHI Forecasting. - Ying-Yi Hong; Christian Lian Paulo P. Rioflorido (ISGT EUROPE, 2023)

A Robust Hybrid Classical and Quantum Model for Short-Term Wind Speed Forecasting. - Ying-Yi Hong; Christine Joy E. Arce; Tsung-Wei Huang (IEEE Access, 2023)

Classification of Photovoltaic Faults Using PSO-Optimized Compact Convolutional Transformer. - Ying-Yi Hong; Li-Fan Chen; Weina Zhang (IEEE Access, 2023)

Short-term electric load forecasting using particle swarm optimization-based convolutional neural network. - Ying-Yi Hong; Yu-Hsuan Chan (Eng. Appl. Artif. Intell., 2023)

Day-Ahead Spatiotemporal Wind Speed Forecasting Based on a Hybrid Model of Quantum and Residual Long Short-Term Memory Optimized by Particle Swarm Algorithm. - Ying-Yi Hong; Jay Bhie D. Santos (IEEE Syst. J., 2023)

Hybrid Digital Twin-P&O Photovoltaic Controller for Partial Shading Conditions. - Ying-Yi Hong; Francisco I. Alano; Chia-Yu Han; Chin-Chan Cheng; Yih-Der Lee (TENCON, 2024)

Digital Twin-Based Blockchain for Power Support in Networked Microgrids. - Ying-Yi Hong; Francisco I. Alano; Yih-Der Lee; Jheng-Lun Jiang; Jin-Nan Yeh (IEEE Access, 2024)

Solar Irradiance Forecasting Using a Hybrid Quantum Neural Network: A Comparison on GPU-Based Workflow Development Platforms. - Ying-Yi Hong; Dylan Josh Domingo Lopez; Yun-Yuan Wang (IEEE Access, 2024)

Hybrid deep learning and quantum-inspired neural network for day-ahead spatiotemporal wind speed forecasting. - Ying-Yi Hong; Christian Lian Paulo P. Rioflorido; Weina Zhang (Expert Syst. Appl., 2024)

Diagnosis of photovoltaic faults using digital twin and PSO-optimized shifted window transformer. - Ying-Yi Hong; Rolando A. Pula (Appl. Soft Comput., 2024)

Extreme Weather Forecasting Using Quantum-Enhanced LSTM Network. - Ying-Yi Hong; Daryll John O. Medina; Yun-Yuan Wang (IAS, 2025)

Edge-Fog Computing-Based Blockchain for Networked Microgrid Frequency Support. - Ying-Yi Hong; Francisco I. Alano; Yih-Der Lee; Chia-Yu Han (IEEE Access, 2025)

A Review on Quantum Machine Learning in Applied Systems and Engineering. - Ying-Yi Hong; Dylan Josh Domingo Lopez (IEEE Access, 2025)