Probabilistic solar power forecasting in smart grids using distributed information-Reference-Cited by-同舟云学术

Probabilistic solar power forecasting in smart grids using distributed information

Published:2015-11 Issue: Volume:72 Page:16-23
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Bessa R.J.,Trindade A.,Silva Cátia S.P.,Miranda V.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference36 articles.

1. Re-considering the economics of photovoltaic power;Bazilian;Renewable Energy,2013

2. Masson G, Latour M, Rekinger M, Theologitis I, Papoutsi M. Global market outlook for photovoltaics: 2013–2017. Tech. Report. European Photovoltaic Industry Association; 2013.

3. Development of a probabilistic tool using Monte Carlo simulation and smart meters measurements for the long term analysis of low voltage distribution grids with photovoltaic generation;Vallée;Int J Electr Power Energy Syst,2013

4. SCUC problem for solar/thermal power system addressing smart grid issues using FF algorithm;Chandrasekaran;Int J Electr Power Energy Syst,2014

5. Ancillary services market framework for voltage control in distribution networks with microgrids;Madureira;Electric Power Syst Res,2012

Cited by 106 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. A predictive control method for multi-electrolyzer off-grid hybrid hydrogen production systems with photovoltaic power prediction;International Journal of Hydrogen Energy;2024-09

2. Forecasting Solar Photovoltaic Power Production: A Comprehensive Review and Innovative Data-Driven Modeling Framework;Energies;2024-08-20

3. On soft measurement modeling for predicting photovoltaic power with uncertainty based on the Takagi–Sugeno model;Measurement Science and Technology;2024-08-08

4. Reliability-driven clustering methodology for probabilistic forecast of environmental conditions in power electronics applications;International Journal of Electrical Power & Energy Systems;2024-07

5. A hybrid graph attention network based method for interval prediction of shipboard solar irradiation;Energy;2024-07