SVR based PV models for MPC based energy flow management-Reference-Cited by-同舟云学术

SVR based PV models for MPC based energy flow management

Published:2017-09 Issue: Volume:122 Page:133-138
ISSN:1876-6102
Container-title:Energy Procedia
language:en
Short-container-title:Energy Procedia

Author:

Boegli M.,Stauffer Y.

Publisher

Elsevier BV

Reference11 articles.

1. T. Mai, R. Wiser, D. Sandor, G. Brinkman, G. Heath, P. Denholm, D. Hostick, N. Darghouth, A. Schlosser et K. Strzepek, «Exploration of High-Penetration Renewable Electricity Futures,» NREL/TP-6A20-52409-1, Golden, CO, 2012.

2. A. Hirtenstein, «Batteries Storing Power Seen as Big as Rooftop Solar in 12 Years,» 13 June 2016. [En ligne]. Available: https://www.bloomberg.com/news/articles/2016-06-13/batteries-storing-power-seen-as-big-as-rooftop-solar-in-12-years [Accès le April 2017].

3. «www.meteosuisse.admin.ch,» 2017. [En ligne].

4. «www.solarwebservices.ch,» 2017. [En ligne].

5. Review of photovoltaic power forecasting;Antonanzas;Solar Energy,2016

Cited by 7 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. Fast grid search: A grid search-inspired algorithm for optimizing hyperparameters of support vector regression;Turkish Journal of Electrical Engineering and Computer Sciences;2024-02-07

2. Impact of stratospheric aerosol injection on photovoltaic energy potential over Nigeria;Asian Journal of Atmospheric Environment;2024-02-06

3. Photovoltaic Power Generation Forecasting Based on the ARIMA-BPNN-SVR Model;Global Journal of Energy Technology Research Updates;2022-08-05

4. Machine Learning and Data Segmentation for Building Energy Use Prediction—A Comparative Study;Energies;2021-09-18

5. The Impact of Data Segmentation in Predicting Monthly Building Energy Use with Support Vector Regression;Springer Proceedings in Energy;2021