METHOD OF FORECASTING FOR SOLAR-BASED POWER SYSTEMS

Antonio Sanfilippo; Daniel Perez Astudillo; Dunia Bachour; Nassma Mohands; Luis Pomares

METHOD OF FORECASTING FOR SOLAR-BASED POWER SYSTEMS

Antonio Sanfilippo (Inventor), Daniel Perez Astudillo (Inventor), Dunia Bachour (Inventor), Nassma Mohands (Inventor), Luis Pomares (Inventor)

QEERI - Energy Center

Qatar Foundation for Education, Science, and Community Development

Research output: Patent

Abstract

The method of forecasting for solar-based power systems (10) recognizes that no single solar irradiance forecasting model provides the best forecasting prediction for every current weather trend at every time of the year. Instead, the method trains a classifier to select the best solar irradiance forecasting model for prevailing conditions through a machine learning approach. The resulting solar irradiance forecast predictions are then used to allocate the solar-based power systems (10) resources and modify demand when necessary in order to maintain a substantially constant voltage supply in the system (10).

Original language	English
Patent number	US2018175790
IPC	H02S 50/ 10 A I
Priority date	23/06/16
Publication status	Published - 21 Jun 2018

Cite this

@misc{90d00178f051445e996bd1abd62fc308,

title = "METHOD OF FORECASTING FOR SOLAR-BASED POWER SYSTEMS",

abstract = "The method of forecasting for solar-based power systems (10) recognizes that no single solar irradiance forecasting model provides the best forecasting prediction for every current weather trend at every time of the year. Instead, the method trains a classifier to select the best solar irradiance forecasting model for prevailing conditions through a machine learning approach. The resulting solar irradiance forecast predictions are then used to allocate the solar-based power systems (10) resources and modify demand when necessary in order to maintain a substantially constant voltage supply in the system (10).",

author = "Antonio Sanfilippo and Astudillo, {Daniel Perez} and Dunia Bachour and Nassma Mohands and Luis Pomares",

year = "2018",

month = jun,

day = "21",

language = "English",

type = "Patent",

note = "US2018175790; H02S 50/ 10 A I",

}

TY - PAT

T1 - METHOD OF FORECASTING FOR SOLAR-BASED POWER SYSTEMS

AU - Sanfilippo, Antonio

AU - Astudillo, Daniel Perez

AU - Bachour, Dunia

AU - Mohands, Nassma

AU - Pomares, Luis

PY - 2018/6/21

Y1 - 2018/6/21

N2 - The method of forecasting for solar-based power systems (10) recognizes that no single solar irradiance forecasting model provides the best forecasting prediction for every current weather trend at every time of the year. Instead, the method trains a classifier to select the best solar irradiance forecasting model for prevailing conditions through a machine learning approach. The resulting solar irradiance forecast predictions are then used to allocate the solar-based power systems (10) resources and modify demand when necessary in order to maintain a substantially constant voltage supply in the system (10).

AB - The method of forecasting for solar-based power systems (10) recognizes that no single solar irradiance forecasting model provides the best forecasting prediction for every current weather trend at every time of the year. Instead, the method trains a classifier to select the best solar irradiance forecasting model for prevailing conditions through a machine learning approach. The resulting solar irradiance forecast predictions are then used to allocate the solar-based power systems (10) resources and modify demand when necessary in order to maintain a substantially constant voltage supply in the system (10).

M3 - Patent

M1 - US2018175790

ER -

METHOD OF FORECASTING FOR SOLAR-BASED POWER SYSTEMS

Abstract

Fingerprint

Cite this