Construction of neural network-based prediction intervals using particle swarm optimization. - Hao Quan 001; Dipti Srinivasan; Abbas Khosravi (IJCNN, 2012)

Construction of neural network-based prediction intervals for short-term electrical load forecasting. - Hao Quan 001; Dipti Srinivasan; Abbas Khosravi; Saeid Nahavandi; Douglas C. Creighton (CIASG, 2013)

Particle swarm optimization for construction of neural network-based prediction intervals. - Hao Quan 001; Dipti Srinivasan; Abbas Khosravi (Neurocomputing, 2014)

Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals. - Hao Quan 001; Dipti Srinivasan; Abbas Khosravi (IEEE Trans. Neural Networks Learn. Syst., 2014)

Incorporating Wind Power Forecast Uncertainties Into Stochastic Unit Commitment Using Neural Network-Based Prediction Intervals. - Hao Quan 001; Dipti Srinivasan; Abbas Khosravi (IEEE Trans. Neural Networks Learn. Syst., 2015)

Reliable Photovoltaic Generation Forecasting via Quantile Determination. - Wenjie Zhang 004; Hao Quan 001; Oktoviano Gandhi; Dipti Srinivasan (ISGT, 2019)

An Improved Quantile Regression Neural Network for Probabilistic Load Forecasting. - Wenjie Zhang 004; Hao Quan 001; Dipti Srinivasan (IEEE Trans. Smart Grid, 2019)

A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids. - Hao Quan 001; Abbas Khosravi; Dazhi Yang 005; Dipti Srinivasan (IEEE Trans. Neural Networks Learn. Syst., 2020)

Improving Probabilistic Load Forecasting Using Quantile Regression NN With Skip Connections. - Wenjie Zhang 004; Hao Quan 001; Oktoviano Gandhi; Ram Rajagopal; Chin-Woo Tan; Dipti Srinivasan (IEEE Trans. Smart Grid, 2020)

Hierarchical Distributed Coordinated Control of DC Microgrid Cluster with Hybrid Energy Storages. - Ke Wu; Hao Quan 001; Fanghong Guo (IECON, 2023)

A Distributed Dual-Optimization Framework for Ancillary-Service Coordination Between MV Microgrids and LV Distribution Networks. - Hao Quan 001; Kumar Utkarsh; Dipti Srinivasan (IEEE Syst. J., 2023)

Top-Oil Temperature Prediction of Power Transformer Based on Long Short-Term Memory Neural Network with Self-Attention Mechanism Optimized by Improved Whale Optimization Algorithm. - Dexu Zou; He Xu; Hao Quan 001; Jianhua Yin; Qingjun Peng; Shan Wang; Weiju Dai; Zhihu Hong (Symmetry, 2024)

Power Transformer On-Load Capacity-Regulating Control and Optimization Based on Load Forecasting and Hesitant Fuzzy Control. - Dexu Zou; Xinyu Sun; Hao Quan 001; Jianhua Yin; Qingjun Peng; Shan Wang; Weiju Dai; Zhihu Hong (Symmetry, 2024)