| An improved quantile regression neural network for probabilistic load forecasting W Zhang, H Quan, D Srinivasan IEEE Transactions on Smart Grid, 2018 | 229 | 2018 |
| A siting and sizing optimization approach for PV–battery–diesel hybrid systems CD Rodríguez-Gallegos, O Gandhi, D Yang, MS Alvarez-Alvarado, ... IEEE Transactions on Industry Applications 54 (3), 2637-2645, 2017 | 142 | 2017 |
| Economic and technical analysis of reactive power provision from distributed energy resources in microgrids O Gandhi, CD Rodríguez-Gallegos, W Zhang, D Srinivasan, T Reindl Applied energy 210, 827-841, 2018 | 111 | 2018 |
| Parallel and reliable probabilistic load forecasting via quantile regression forest and quantile determination W Zhang, H Quan, D Srinivasan Energy 160, 810-819, 2018 | 106 | 2018 |
| Distributed model-predictive real-time optimal operation of a network of smart microgrids K Utkarsh, D Srinivasan, A Trivedi, W Zhang, T Reindl IEEE Transactions on Smart Grid 10 (3), 2833-2845, 2018 | 87 | 2018 |
| SolarGAN: Multivariate solar data imputation using generative adversarial network W Zhang, Y Luo, Y Zhang, D Srinivasan IEEE Transactions on Sustainable Energy 12 (1), 743-746, 2020 | 86 | 2020 |
| Analytical approach to reactive power dispatch and energy arbitrage in distribution systems with DERs O Gandhi, W Zhang, CD Rodriguez-Gallegos, M Bieri, T Reindl, ... IEEE Transactions on Power Systems 33 (6), 6522-6533, 2018 | 80 | 2018 |
| Improving probabilistic load forecasting using quantile regression NN with skip connections W Zhang, H Quan, O Gandhi, R Rajagopal, CW Tan, D Srinivasan IEEE Transactions on Smart Grid 11 (6), 5442-5450, 2020 | 79 | 2020 |
| A multi-agent based integrated volt-var optimization engine for fast vehicle-to-grid reactive power dispatch and electric vehicle coordination W Zhang, O Gandhi, H Quan, CD Rodríguez-Gallegos, D Srinivasan Applied Energy 229, 96-110, 2018 | 58 | 2018 |
| Deep-learning-based probabilistic estimation of solar PV soiling loss W Zhang, S Liu, O Gandhi, CD Rodríguez-Gallegos, H Quan, ... IEEE Transactions on Sustainable Energy 12 (4), 2436-2444, 2021 | 47 | 2021 |
| Continuous optimization of reactive power from PV and EV in distribution system O Gandhi, W Zhang, C Rodríguez-Gallegos, D, D Srinivasan, T Reindl Innovative Smart Grid Technologies-Asia (ISGT-Asia), 2016 IEEE, 2016 | 38 | 2016 |
| The value of solar forecasts and the cost of their errors: A review O Gandhi, W Zhang, DS Kumar, CD Rodríguez-Gallegos, GM Yagli, ... Renewable and Sustainable Energy Reviews 189, 113915, 2024 | 26 | 2024 |
| Placement and Sizing Optimization for PV-Battery-Diesel Hybrid Systems CD Rodrıguez-Gallegos, MS Alvarez-Alvarado, O Gandhi, D Yang, ... 4th IEEE International Conference on Sustainable Energy Technologies (ICSET …, 2016 | 25 | 2016 |
| Forecasting of electricity prices using deep learning networks W Zhang, F Cheema, D Srinivasan 2018 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC …, 2018 | 22 | 2018 |
| Local reactive power dispatch optimisation minimising global objectives O Gandhi, W Zhang, CD Rodríguez-Gallegos, H Verbois, H Sun, T Reindl, ... Applied energy 262, 114529, 2020 | 20 | 2020 |
| An ensemble machine learning based approach for constructing probabilistic PV generation forecasting W Zhang, H Quan, O Gandhi, CD Rodríguez-Gallegos, A Sharma, ... Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2017 IEEE PES …, 2018 | 17 | 2018 |
| Enabling high-efficiency economic dispatch of hybrid AC/DC networked microgrids: Steady-state convex bi-directional converter models Z Liang, CY Chung, W Zhang, Q Wang, W Lin, C Wang IEEE Transactions on Smart Grid, 2024 | 15 | 2024 |
| SoilingEdge: PV Soiling Power Loss Estimation at the Edge Using Surveillance Cameras W Zhang, V Archana, O Gandhi, CD Rodríguez-Gallegos, H Quan, ... IEEE Transactions on Sustainable Energy, 2023 | 14 | 2023 |
| An Interval Prediction Approach of Wind Power Based on Skip-GRU and Block-Bootstrap Techniques H Quan, W Zhang, W Zhang, Z Li, T Zhou IEEE Transactions on Industry Applications 59 (4), 4710-4719, 2023 | 13 | 2023 |
| Wind Power Forecasting in the presence of data scarcity: A very short-term conditional probabilistic modeling framework S Wang, W Zhang, Y Sun, A Trivedi, CY Chung, D Srinivasan Energy 291, 130305, 2024 | 11 | 2024 |
Dipti SrinivasanIEEE Fellow; Professor, National University ofΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα nus.edu.sg
