| Convolutional neural networks for intra-hour solar forecasting based on sky image sequences C Feng, J Zhang, W Zhang, BM Hodge Applied Energy 310, 118438, 2022 | 103 | 2022 |
| Advances in solar forecasting: Computer vision with deep learning Q Paletta, G Terrén-Serrano, Y Nie, B Li, J Bieker, W Zhang, L Dubus, ... Advances in Applied Energy 11, 100150, 2023 | 45 | 2023 |
| A stochastic downscaling approach for generating high-frequency solar irradiance scenarios W Zhang, W Kleiber, AR Florita, BM Hodge, B Mather Solar Energy 176, 370-379, 2018 | 27 | 2018 |
| Modeling and simulation of high-frequency solar irradiance W Zhang, W Kleiber, AR Florita, BM Hodge, B Mather IEEE Journal of Photovoltaics 9 (1), 124-131, 2018 | 20 | 2018 |
| Arpa-e perform datasets B Sergi, C Feng, F Zhang, BM Hodge, R Ring-Jarvi, R Bryce, ... DOE Open Energy Data Initiative (OEDI); National Renewable Energy Laboratory …, 2022 | 9 | 2022 |
| A nonstationary and non‐Gaussian moving average model for solar irradiance W Zhang, W Kleiber, BM Hodge, B Mather Environmetrics 33 (3), e2712, 2022 | 6 | 2022 |
| Rapid QSTS Simulations for High-Resolution Comprehensive Assessment of Distributed PV RJ Broderick, MJ Reno, MS Lave, JA Azzolini, L Blakely, J Galtieri, ... Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2021 | 5 | 2021 |
| Occlusion-perturbed deep learning for probabilistic solar forecasting via sky images C Feng, W Zhang, BM Hodge, Y Zhang 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2022 | 4 | 2022 |
| Solar PV, wind generation, and load forecasting dataset for ERCOT 2018: Performance-based energy resource feedback, optimization, and risk management (PERFORM) R Bryce, G Buster, K Doubleday, C Feng, R Ring-Jarvi, M Rossol, ... National Renewable Energy Laboratory (NREL), Golden, CO (United States), 2023 | 3 | 2023 |
| A regime-switching spatio-temporal GARCH method for short-term wind forecasting W Zhang, C Feng, BM Hodge 2022 IEEE Power & Energy Society General Meeting (PESGM), 1-6, 2022 | 3 | 2022 |
| Solar, Wind, and Load Forecasting Dataset for MISO, NYISO, and SPP Balancing Areas R Bryce, C Feng, B Sergi, R Ring-Jarvi, W Zhang, BM Hodge National Renewable Energy Laboratory (NREL), Golden, CO (United States), 2024 | 1 | 2024 |
| Joint resource modeling and assessment for hybrid distributed solar and wind systems W Zhang, C Feng, BM Hodge 2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge), 1-5, 2023 | 1 | 2023 |
| Statistical Approaches to Assess High Frequency Variability of Solar Irradiance W Zhang University of Colorado at Boulder, 2020 | | 2020 |
| High-frequency Forecasting of Solar Radiation using a Hybrid Numerical Weather Prediction and Stochastic Downscaling Model A Kumler, Y Xie, M Sengupta, Y Liu, W Zhang, A Florita, B Mather AGU Fall Meeting Abstracts 2019, GC53F-1184, 2019 | | 2019 |
Bri-Mathias HodgeProfessor, CU Boulder / NRELPatvirtintas el. paštas nrel.gov