| A Variance Inflation Factor and Backward Elimination based Robust Regression Model for Forecasting Monthly Electricity Demand using Climatic Variables APA D.H. Vu, K.M. Muttaqi Applied Energy 140, 385–394, 2015 | 319 | 2015 |
| An integrated energy management approach for the economic operation of industrial microgrids under uncertainty of renewable energy DH Vu, KM Muttaqi, D Sutanto IEEE Transactions on Industry Applications 56 (2), 1062-1073, 2020 | 79 | 2020 |
| Short-term electricity demand forecasting using autoregressive based time varying model incorporating representative data adjustment DH Vu, KM Muttaqi, AP Agalgaonkar, A Bouzerdoum Applied Energy 205, 790-801, 2017 | 77 | 2017 |
| Customer reward‐based demand response program to improve demand elasticity and minimise financial risk during price spikes DH Vu, KM Muttaqi, AP Agalgaonkar, A Bouzerdoum IET Generation, Transmission & Distribution 12 (15), 3764-3771, 2018 | 49 | 2018 |
| Load forecasting under changing climatic conditions for the city of Sydney, Australia T Ahmed, DH Vu, KM Muttaqi, AP Agalgaonkar Energy 142, 911-919, 2018 | 44 | 2018 |
| Short-term forecasting of electricity spot prices containing random spikes using a time-varying autoregressive model combined with kernel regression DH Vu, KM Muttaqi, AP Agalgaonkar, A Bouzerdoum IEEE Transactions on Industrial Informatics 15 (9), 5378-5388, 2019 | 33 | 2019 |
| Short-term load forecasting using regression based moving windows with adjustable window-sizes DH Vu, KM Muttaqi, AP Agalgaonkar 2014 IEEE Industry Application Society Annual Meeting, 1-8, 2014 | 31 | 2014 |
| Assessing the influence of climatic variables on electricity demand DH Vu, KM Muttaqi, AP Agalgaonkar 2014 IEEE PES General Meeting| Conference & Exposition, 1-5, 2014 | 24 | 2014 |
| Combinatorial approach using wavelet analysis and artificial neural network for short-term load forecasting DH Vu, KM Muttaqi, AP Agalgaonkar 2014 Australasian Universities Power Engineering Conference (AUPEC), 1-6, 2014 | 9 | 2014 |
| Recurring multi-layer moving window approach to forecast day-ahead and week-ahead load demand considering weather conditions DH Vu, KM Muttaqi, AP Agalgaonkar, A Zahedmanesh, A Bouzerdoum Journal of Modern Power Systems and Clean Energy 10 (6), 1552-1562, 2021 | 8 | 2021 |
| Intra-hour and hourly demand forecasting using selective order autoregressive model DH Vu, KM Muttaqi, AP Agalgaonkar, A Bouzerdoum 2016 IEEE International Conference on Power System Technology (POWERCON), 1-6, 2016 | 8 | 2016 |
| A multi-feature based approach incorporating variable thresholds for detecting price spikes in the national electricity market of australia DH Vu, KM Muttaqi, AP Agalgaonkar, A Bouzerdoum IEEE Access 9, 13960-13969, 2021 | 7 | 2021 |
| Leakage current analysis for predicting flashover in distribution network TP Hong, DN Trong, DV Hoang 2009 IEEE Conference on Electrical Insulation and Dielectric Phenomena, 462-465, 2009 | 7 | 2009 |
| Hydraulic resistance exerted on dense nonaqueous phase liquid droplets moving through saturated porous media. DH Vu, K Sato, S Imamura | 4 | 1997 |
| Forecasting Electricity Demand and Price Spike for Improving Electricity Market Operation DH Vu | | 2017 |