Economics of physics-based solar forecasting in power system day-ahead scheduling-Reference-Cited by-同舟云学术

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Economics of physics-based solar forecasting in power system day-ahead scheduling

Published:2024-07 Issue: Volume:199 Page:114448
ISSN:1364-0321
Container-title:Renewable and Sustainable Energy Reviews
language:en
Short-container-title:Renewable and Sustainable Energy Reviews

Author:

Wang Wenting^ORCID,Guo Yufeng,Yang Dazhi^ORCID,Zhang Zili,Kleissl Jan^ORCID,van der Meer Dennis,Yang Guoming,Hong Tao,Liu Bai,Huang Nantian,Mayer Martin János^ORCID

Funder

National Natural Science Foundation of China

China Meteorological Administration

Publisher

Elsevier BV

Reference59 articles.

1. A review of solar forecasting, its dependence on atmospheric sciences and implications for grid integration: Towards carbon neutrality;Yang;Renew Sustain Energy Rev,2022

2. History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining;Yang;Sol Energy,2018

3. Probabilistic energy forecasting: Global energy forecasting competition 2014 and beyond;Hong;Int J Forecast,2016

4. Energy forecasting: A review and outlook;Hong;IEEE Open Access J Power Energy,2020

5. Solar forecasting methods for renewable energy integration;Inman;Prog Energy Combust Sci,2013

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Estimating the value of ECMWF EPS for photovoltaic power forecasting;Solar Energy;2024-09

2. Real-Time Solar Power Generation Scheduling for Maintenance and Suboptimally Performing Equipment Using Demand Response Unified with Model Predictive Control;Energies;2024-06-29

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