Adaptive rule generation for solar forecasting: Interfacing with a knowledge-base library

Author

Nummikoski, J. ; Manjili, Yashar Sahraei ; Vega, R. ; Krishnaswami, H.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Texas at San Antonio, San Antonio, TX, USA

fYear

2013

fDate

16-21 June 2013

Abstract

This paper covers the development of an adaptive, interactive rule generation interface applied to the full scope of solar forecasting techniques, both current and forthcoming. The interface provides a user-friendly platform for detecting patterns and correlations between elements in a database of solar irradiance, weather and photovoltaic generation information. The database consists of 10 years of data obtained from the National Renewable Energy Laboratory (NREL) data acquisition systems and the Automated Surface Observing System (ASOS). This report discusses how such an interface can be used to improve existing forecasting algorithms and also be used to create new forecasting techniques.

Keywords

data acquisition; database management systems; forecasting theory; knowledge based systems; libraries; power engineering computing; power grids; solar power; solar power stations; ASOS; NREL; National Renewable Energy Laboratory data acquisition systems; adaptive rule generation interface; automated surface observing system; electricity grids; interactive rule generation interface; knowledge-base library; pattern detection; photovoltaic generation information database; renewable energy operations; solar forecasting techniques; solar irradiance database; solar power generation; solar power penetration; weather information database; Clouds; Databases; Forecasting; Instruments; Knowledge based systems; Libraries; Meteorology; Renewable energy operations; Solar energy; Solar forecasting; Solar power generation;

fLanguage

English

Publisher

ieee

Conference_Titel

Photovoltaic Specialists Conference (PVSC), 2013 IEEE 39th

Conference_Location

Tampa, FL

Type

conf

DOI

10.1109/PVSC.2013.6744305

Filename

6744305