Items where Author is "Yang, Dazhi"
Group by: Item Type | No Grouping Jump to: Article Number of items: 8. ArticleYang, Dazhi and Liu, Bai and Zhang, Hao and Xia, Xiang’ao and Shen, Yanbo and Mayer, Martin János (2025) A Second Tutorial Review of the Solar Power Curve: Applications in Energy Meteorology. ADVANCES IN ATMOSPHERIC SCIENCES, 42 (2). pp. 269-296. ISSN 0256-1530 Mayer, Martin János and Yang, Dazhi and Markovics, Dávid (2025) The complexity and dimensionality of making deterministic photovoltaic power forecasts from ensemble numerical weather prediction. ENERGY CONVERSION AND MANAGEMENT, 344. No.-120303. ISSN 0196-8904 (In Press) Song, Mengmeng and Yang, Dazhi and Lerch, Sebastian and Xia, Xiang’ao and Yagli, Gokhan Mert and Bright, Jamie M. and Shen, Yanbo and Liu, Bai and Liu, Xingli and Mayer, Martin János (2024) Non-crossing Quantile Regression Neural Network as a Calibration Tool for Ensemble Weather Forecasts. ADVANCES IN ATMOSPHERIC SCIENCES, 41. pp. 1417-1437. ISSN 0256-1530 Mayer, Martin János and Yang, Dazhi (2024) Optimal place to apply post-processing in the deterministic photovoltaic power forecasting workflow. APPLIED ENERGY, 371. No. 123681. ISSN 0306-2619 Mayer, Martin János and Yang, Dazhi (2024) Potential root mean square error skill score. JOURNAL OF RENEWABLE AND SUSTAINABLE ENERGY, 16 (1). No. 016501. ISSN 1941-7012 Yang, Dazhi and Xia, Xiang'ao and Mayer, Martin János (2024) A Tutorial Review of the Solar Power Curve : Regressions, Model Chains, and Their Hybridization and Probabilistic Extensions. ADVANCES IN ATMOSPHERIC SCIENCES, 41. pp. 1023-1067. ISSN 0256-1530 Mayer, Martin János and Yang, Dazhi and Szintai, Balázs (2023) Comparing global and regional downscaled NWP models for irradiance and photovoltaic power forecasting: ECMWF versus AROME. APPLIED ENERGY, 352. No-121958. ISSN 0306-2619 Mayer, Martin János and Yang, Dazhi (2023) Pairing Ensemble Numerical Weather Prediction with Ensemble Physical Model Chain for Probabilistic Photovoltaic Power Forecasting. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 175. No.-113171. ISSN 1364-0321 (print); 1879-0690 (online) |