Shadow-camera based solar nowcasting system for shortest-term forecasts
暂无分享,去创建一个
Robert Pitz-Paal | Detlev Heinemann | Stefan Wilbert | Bijan Nouri | Natalie Hanrieder | Christoph Prahl | Andreas Kazantzidis | Philippe Blanc | Pascal Moritz Kuhn | Thomas Schmidt | S. Wilbert | R. Pitz-Paal | D. Heinemann | A. Kazantzidis | P. Blanc | P. Kuhn | C. Prahl | B. Nouri | T. Schmidt | N. Hanrieder | Dominik Garsche | Luis Zarzarlejo | Jesús Fernández | Jesús Fernández | Dominik Garsche | Luis Zarzarlejo | Pascal Kuhn | R. Pitz‐Paal
[1] Jin Xu,et al. Cloud motion estimation for short term solar irradiation prediction , 2013, 2013 IEEE International Conference on Smart Grid Communications (SmartGridComm).
[2] Edgar Nuño,et al. On the Simulation of Aggregated Solar PV Forecast Errors , 2018, IEEE Transactions on Sustainable Energy.
[3] Detlev Heinemann,et al. Evaluating the spatio-temporal performance of sky-imager-based solar irradiance analysis and forecasts , 2015 .
[4] Luca Bertinetto,et al. Staple: Complementary Learners for Real-Time Tracking , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] J. Kleissl,et al. Development of a sky imaging system for short-term solar power forecasting , 2014 .
[6] Jan Kleissl,et al. High PV penetration impacts on five local distribution networks using high resolution solar resource assessment with sky imager and quasi-steady state distribution system simulations , 2016 .
[7] R. Urraca,et al. Review of photovoltaic power forecasting , 2016 .
[8] Seungyong Lee,et al. Radial Bright Channel Prior for Single Image Vignetting Correction , 2014, ECCV.
[9] Carlos F.M. Coimbra,et al. Short-term reforecasting of power output from a 48 MWe solar PV plant , 2015 .
[10] Robert Pitz-Paal,et al. Shadow camera system for the generation of solar irradiance maps , 2017 .
[11] J. Alonso,et al. Short and medium-term cloudiness forecasting using remote sensing techniques and sky camera imagery , 2014 .
[12] Olivier Liandrat,et al. Cloud cover forecast from a ground-based all sky infrared thermal camera , 2017, Remote Sensing.
[13] Ling Shao,et al. Recent advances and trends in visual tracking: A review , 2011, Neurocomputing.
[14] H. Pedro,et al. Assessment of forecasting techniques for solar power production with no exogenous inputs , 2012 .
[15] Martin Hofmann,et al. One-Hour Prediction of the Global Solar Irradiance from All-Sky Images Using Artificial Neural Networks , 2018, Energies.
[16] Jan Kleissl,et al. A virtual sky imager testbed for solar energy forecasting , 2017 .
[17] Stephen M. Smith,et al. Measuring Cloud Cover and Brightness Temperature with a Ground-Based Thermal Infrared Camera , 2008 .
[18] Carlos F.M. Coimbra,et al. A Smart Image-Based Cloud Detection System for Intrahour Solar Irradiance Forecasts , 2014 .
[19] R. Inman,et al. Solar forecasting methods for renewable energy integration , 2013 .
[20] Bangyin Liu,et al. Online 24-h solar power forecasting based on weather type classification using artificial neural network , 2011 .
[21] J. Kleissl,et al. Intra-hour forecasting with a total sky imager at the UC San Diego solar energy testbed , 2011 .
[22] Amos G. Winter,et al. Advantages of operation flexibility and load sizing for PV-powered system design , 2018 .
[23] Robert Pitz-Paal,et al. Validation of an all‐sky imager–based nowcasting system for industrial PV plants , 2018 .
[24] Yingzhong Gu,et al. Markov Chain model for solar farm generation and its application to generation performance evaluation , 2018, Journal of Cleaner Production.
[25] Stephen Lin,et al. Single-Image Vignetting Correction , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] G. Seckmeyer,et al. Measuring high-resolution sky luminance distributions with a CCD camera. , 2013, Applied optics.
[27] G. Notton,et al. Solar radiation forecasting using artificial neural network and random forest methods: Application to normal beam, horizontal diffuse and global components , 2019, Renewable Energy.
[28] Kohei Mizutani,et al. Radiometric cloud imaging with an uncooled microbolometer thermal infrared camera. , 2005, Optics express.
[29] Thomas Schmidt. High resolution solar irradiance forecasts based on sky images , 2017 .
[30] Stefan Wilbert,et al. Design and Operation of an Irradiance Measurement Network , 2015 .
[31] Rui Caseiro,et al. High-Speed Tracking with Kernelized Correlation Filters , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Clément Bertin,et al. Prediction of optical communication link availability: real-time observation of cloud patterns using a ground-based thermal infrared camera , 2015, SPIE Remote Sensing.
[33] Carlos F.M. Coimbra,et al. Day-ahead forecasting of solar power output from photovoltaic plants in the American Southwest , 2016 .
[34] Nicolas Sébastien,et al. Extracting cloud motion vectors from satellite images for solar power forecasting , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.
[35] Stephen Lin,et al. Single-image vignetting correction using radial gradient symmetry , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[36] R. Inman. Solar forecasting review , 2012 .
[37] Haifeng Qian,et al. Assessing the GOES-16 ABI solar channels calibration using deep convective clouds , 2017, Optical Engineering + Applications.
[38] S. Wilbert,et al. Nowcasting of DNI Maps for the Solar Field Based on Voxel Carving and Individual 3D Cloud Objects from All Sky Images , 2018 .
[39] Stefan Wilbert,et al. Solar resource for high penetration and large scale applications – a new joint Task of IEA PVPS and IEA SolarPACES , 2017 .
[40] Robert Pitz-Paal,et al. Modeling beam attenuation in solar tower plants using common DNI measurements , 2016 .
[41] J.C.E. Roy. Design and installation of a Sky-camera network and data acquisition system for intra-hour solar irradiance and photovoltaic system output forecasting , 2016 .
[42] J. Thepaut,et al. Ten years of ENVISAT observations at ECMWF: A review of activities and lessons learnt , 2015 .
[43] Olivier Pannekoucke,et al. A benchmark of statistical regression methods for short-term forecasting of photovoltaic electricity production, part I: Deterministic forecast of hourly production , 2014 .
[44] S. Pelland,et al. Solar and photovoltaic forecasting through post‐processing of the Global Environmental Multiscale numerical weather prediction model , 2013 .
[45] Eric Gilleland,et al. Intercomparison of Spatial Forecast Verification Methods , 2009 .
[46] Luís Simões da Silva,et al. Towards a standardized procedure for the safety assessment of stability design rules , 2014 .
[47] Teresa León,et al. Introducing the Temporal Distortion Index to perform a bidimensional analysis of renewable energy forecast , 2016 .
[48] Joel Cline,et al. A Wind Energy Ramp Tool and Metric for Measuring the Skill of Numerical Weather Prediction Models , 2016 .
[49] Jan Kleissl,et al. Cloud base height from sky imager and cloud speed sensor , 2016 .
[50] Dazhi Yang,et al. Very short term irradiance forecasting using the lasso , 2015 .
[51] Reinaldo Tonkoski,et al. Solar Irradiance Forecasting in Remote Microgrids Using Markov Switching Model , 2018, 2018 IEEE Power & Energy Society General Meeting (PESGM).
[52] P. Blanc,et al. Towards a standardized procedure to assess solar forecast accuracy: A new ramp and time alignment metric , 2017 .
[53] Robert Pitz-Paal,et al. Cloud height and tracking accuracy of three all sky imager systems for individual clouds , 2019, Solar Energy.
[54] A. Okuyama,et al. An Introduction to Himawari-8/9— Japan’s New-Generation Geostationary Meteorological Satellites , 2016 .
[55] A. Hammer,et al. Short-term forecasting of solar radiation: a statistical approach using satellite data , 1999 .
[56] Mohammad A. S. Masoum,et al. Battery-Less Short-Term Smoothing of Photovoltaic Generation Using Sky Camera , 2018, IEEE Transactions on Industrial Informatics.
[57] M. Shah,et al. Object tracking: A survey , 2006, CSUR.
[58] Jeff Brunskill,et al. The Bloomsburg Weather Viewer: A Resource for Integrating Webcam and Local Weather station Data into the Introductory Meteorology Classroom , 2011 .
[59] Dominik Garsche. Entwicklung eines Schattenkamera-basierten Nowcasting-Systems für die Solarindustrie , 2018 .
[60] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[61] Alessandro Niccolai,et al. Computational Intelligence Techniques Applied to the Day Ahead PV Output Power Forecast: PHANN, SNO and Mixed , 2018, Energies.
[62] Robert Pitz-Paal,et al. Field validation and benchmarking of a cloud shadow speed sensor , 2018 .
[63] Dong Huang,et al. 3D cloud detection and tracking system for solar forecast using multiple sky imagers , 2015 .
[64] Hartwig Deneke,et al. A threshold-based cloud mask for the high-resolution visible channel of Meteosat Second Generation SEVIRI , 2013 .
[65] Jan Kleissl,et al. Solar irradiance forecasting using a ground-based sky imager developed at UC San Diego , 2014 .
[66] Jan Kleissl,et al. Towards Intra-Hour Solar Forecasting using Two Sky Imagers at a Large Solar Power Plant , 2012 .
[67] Adel Mellit,et al. Artificial Intelligence technique for modelling and forecasting of solar radiation data: a review , 2008, Int. J. Artif. Intell. Soft Comput..
[68] Jan Kleissl,et al. EVALUATION OF NUMERICAL WEATHER PREDICTION FOR SOLAR FORECASTING , 2013 .
[69] Stefan Wilbert,et al. Short-term forecasting of high resolution local DNI maps with multiple fish-eye cameras in stereoscopic mode , 2017 .