מאמרים עם הרשאות לגישה ציבורית - Hendrik Hamannלמידע נוסף
לא זמינים באתר כלשהו: 5
Solar radiation forecast with machine learning
X Shao, S Lu, HF Hamann
2016 23rd International Workshop on Active-Matrix Flatpanel Displays and …, 2016
הרשאות: US Department of Energy
Methane leak detection and localization using wireless sensor networks for remote oil and gas operations
TG Van Kessel, M Ramachandran, LJ Klein, D Nair, N Hinds, H Hamann, ...
2018 IEEE SENSORS, 1-4, 2018
הרשאות: US Department of Energy
Solar irradiance forecasting by machine learning for solar car races
X Shao, S Lu, TG Van Kessel, HF Hamann, L Daehler, J Cwagenberg, ...
2016 IEEE International Conference on Big Data (Big Data), 2209-2216, 2016
הרשאות: US Department of Energy
A machine-learning approach for regional photovoltaic power forecasting
Y Li, Q Sun, B Lehman, S Lu, HF Hamann, J Simmons, J Black
2016 IEEE Power and Energy Society General Meeting (PESGM), 1-5, 2016
הרשאות: US Department of Energy
Satellite guided mobile wireless methane detection for oil and gas operations
TG Van Kessel, LJ Klein, M Ramachandran, EJ Zhang, H Hamann
2020 IEEE 6th World Forum on Internet of Things (WF-IoT), 1-4, 2020
הרשאות: US Department of Energy
זמינים באתר כלשהו: 26
A suite of metrics for assessing the performance of solar power forecasting
J Zhang, A Florita, BM Hodge, S Lu, HF Hamann, V Banunarayanan, ...
Solar Energy 111, 157-175, 2015
הרשאות: US Department of Energy
The value of day-ahead solar power forecasting improvement
CB Martinez-Anido, B Botor, AR Florita, C Draxl, S Lu, HF Hamann, ...
Solar Energy 129, 192-203, 2016
הרשאות: US Department of Energy
A solar time based analog ensemble method for regional solar power forecasting
X Zhang, Y Li, S Lu, HF Hamann, BM Hodge, B Lehman
IEEE Transactions on Sustainable Energy 10 (1), 268-279, 2018
הרשאות: US Department of Energy
Unsupervised clustering-based short-term solar forecasting
C Feng, M Cui, BM Hodge, S Lu, HF Hamann, J Zhang
IEEE Transactions on Sustainable Energy 10 (4), 2174-2185, 2018
הרשאות: US Department of Energy
Recent trends in variable generation forecasting and its value to the power system
KD Orwig, ML Ahlstrom, V Banunarayanan, J Sharp, JM Wilczak, ...
IEEE Transactions on Sustainable Energy 6 (3), 924-933, 2014
הרשאות: US Department of Energy
Baseline and target values for regional and point PV power forecasts: Toward improved solar forecasting
J Zhang, BM Hodge, S Lu, HF Hamann, B Lehman, J Simmons, ...
Solar Energy 122, 804-819, 2015
הרשאות: US Department of Energy
Machine learning based multi-physical-model blending for enhancing renewable energy forecast-improvement via situation dependent error correction
S Lu, Y Hwang, I Khabibrakhmanov, FJ Marianno, X Shao, J Zhang, ...
2015 European control conference (ECC), 283-290, 2015
הרשאות: US Department of Energy
A methodology for quantifying reliability benefits from improved solar power forecasting in multi-timescale power system operations
M Cui, J Zhang, BM Hodge, S Lu, HF Hamann
IEEE Transactions on Smart Grid 9 (6), 6897-6908, 2017
הרשאות: US Department of Energy
Short-term global horizontal irradiance forecasting based on sky imaging and pattern recognition
C Feng, M Cui, M Lee, J Zhang, BM Hodge, S Lu, HF Hamann
2017 IEEE Power & Energy Society General Meeting, 1-5, 2017
הרשאות: US Department of Energy
Report from the conference,‘identifying obstacles to applying big data in agriculture’
EL White, JA Thomasson, B Auvermann, NR Kitchen, LS Pierson, ...
Precision Agriculture 22, 306-315, 2021
הרשאות: US Department of Agriculture
Next-generation geospatial-temporal information technologies for disaster management
CM Albrecht, B Elmegreen, O Gunawan, HF Hamann, LJ Klein, S Lu, ...
IBM Journal of Research and Development 64 (1/2), 5: 1-5: 12, 2020
הרשאות: US Department of Energy
How can probabilistic solar power forecasts be used to lower costs and improve reliability in power spot markets? a review and application to flexiramp requirements
BF Hobbs, V Krishnan, J Zhang, HF Hamann, C Siebenschuh, R Zhang, ...
IEEE Open Access Journal of Power and Energy 9, 437-450, 2022
הרשאות: US Department of Energy
A multi-scale, multi-model, machine-learning solar forecasting technology
HF Hamann
IBM, Yorktown Heights, NY (United States). Thomas J. Watson Research Center, 2017
הרשאות: US Department of Energy
Distributed wireless sensing for fugitive methane leak detection
LJ Klein, T Van Kessel, D Nair, R Muralidhar, N Hinds, H Hamann, ...
2017 IEEE International Conference on Big Data (Big Data), 4583-4591, 2017
הרשאות: US Department of Energy
Ensemble solar forecasting statistical quantification and sensitivity analysis
WY Cheung, J Zhang, A Florita, BM Hodge, S Lu, HF Hamann, Q Sun, ...
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2015
הרשאות: US Department of Energy
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