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Title: Very Short-term Photovoltaic Power Forecasting using Uncertain Basis Function

Authors:
 [1];  [1];  [1]
  1. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Building Technologies Research and Integration Center (BTRIC)
Sponsoring Org.:
USDOE
OSTI Identifier:
1357972
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: The 51st Annual Conference on Information Systems and Sciences, Baltimore, MD, USA, 20170322, 20170324
Country of Publication:
United States
Language:
English

Citation Formats

Dong, Jin, Kuruganti, Teja, and Djouadi, Seddik M. Very Short-term Photovoltaic Power Forecasting using Uncertain Basis Function. United States: N. p., 2017. Web. doi:10.1109/CISS.2017.7926158.
Dong, Jin, Kuruganti, Teja, & Djouadi, Seddik M. Very Short-term Photovoltaic Power Forecasting using Uncertain Basis Function. United States. doi:10.1109/CISS.2017.7926158.
Dong, Jin, Kuruganti, Teja, and Djouadi, Seddik M. Sun . "Very Short-term Photovoltaic Power Forecasting using Uncertain Basis Function". United States. doi:10.1109/CISS.2017.7926158.
@article{osti_1357972,
title = {Very Short-term Photovoltaic Power Forecasting using Uncertain Basis Function},
author = {Dong, Jin and Kuruganti, Teja and Djouadi, Seddik M},
abstractNote = {},
doi = {10.1109/CISS.2017.7926158},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 2017},
month = {Sun Jan 01 00:00:00 EST 2017}
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

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