skip to content
Short-term load forecasting error distributions and implications for renewable integration studies : preprint Preview this item
ClosePreview this item
Checking...

Short-term load forecasting error distributions and implications for renewable integration studies : preprint

Author: Bri-Mathias Hodge; Debra Lew; Michael R Milligan; National Renewable Energy Laboratory (U.S.),
Publisher: [Golden, Colo.] : National Renewable Energy Laboratory, 2013.
Series: Conference paper (National Renewable Energy Laboratory (U.S.)), 5500-57340.
Edition/Format:   eBook : Document : Conference publication : National government publication : English
Database:WorldCat
Summary:
Load forecasting in the day-ahead timescale is a critical aspect of power system operations that is used in the unit commitment process. It is also an important factor in renewable energy integration studies, where the combination of load and wind or solar forecasting techniques create the net load uncertainty that must be managed by the economic dispatch process or with suitable reserves. An understanding of that  Read more...
Rating:

(not yet rated) 0 with reviews - Be the first.

Subjects
More like this

 

Find a copy online

Links to this item

Find a copy in the library

&AllPage.SpinnerRetrieving; Finding libraries that hold this item...

Details

Genre/Form: Conference papers and proceedings
Congresses
Material Type: Conference publication, Document, Government publication, National government publication, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Bri-Mathias Hodge; Debra Lew; Michael R Milligan; National Renewable Energy Laboratory (U.S.),
OCLC Number: 839964796
Notes: Title from PDF title screen (viewed on Apr. 18, 2013).
"January 2013."
"To be presented at the IEEE Green Technologies Conference, Denver, Colorado, April 4-5, 2013."
Description: 1 online resource (8 pages) : illustrations (chiefly color).
Series Title: Conference paper (National Renewable Energy Laboratory (U.S.)), 5500-57340.
Other Titles: Short term load forecasting error distributions and implications for renewable integration studies
Responsibility: B.-M. Hodge, D. Lew, and M. Milligan.

Abstract:

Load forecasting in the day-ahead timescale is a critical aspect of power system operations that is used in the unit commitment process. It is also an important factor in renewable energy integration studies, where the combination of load and wind or solar forecasting techniques create the net load uncertainty that must be managed by the economic dispatch process or with suitable reserves. An understanding of that load forecasting errors that may be expected in this process can lead to better decisions about the amount of reserves necessary to compensate errors. In this work, we performed a statistical analysis of the day-ahead (and two-day-ahead) load forecasting errors observed in two independent system operators for a one-year period. Comparisons were made with the normal distribution commonly assumed in power system operation simulations used for renewable power integration studies. Further analysis identified time periods when the load is more likely to be under- or overforecast.

Reviews

User-contributed reviews
Retrieving GoodReads reviews...
Retrieving DOGObooks reviews...

Tags

Be the first.
Confirm this request

You may have already requested this item. Please select Ok if you would like to proceed with this request anyway.

Linked Data


Primary Entity

<http://www.worldcat.org/oclc/839964796> # Short-term load forecasting error distributions and implications for renewable integration studies : preprint
    a schema:CreativeWork, schema:Book, schema:MediaObject ;
   library:oclcnum "839964796" ;
   library:placeOfPublication <http://id.loc.gov/vocabulary/countries/cou> ;
   schema:about <http://id.worldcat.org/fast/905712> ; # Electric power-plants--Load
   schema:about <http://id.worldcat.org/fast/1094570> ; # Renewable energy sources
   schema:about <http://id.loc.gov/authorities/subjects/sh85041927> ; # Electric power systems--Load dispatching
   schema:about <http://id.worldcat.org/fast/905420> ; # Electric power distribution
   schema:about <http://id.worldcat.org/fast/905561> ; # Electric power systems--Load dispatching
   schema:about <http://experiment.worldcat.org/entity/work/data/1236715024#Topic/renewable_energy_sources> ; # Renewable energy sources
   schema:about <http://experiment.worldcat.org/entity/work/data/1236715024#Topic/electric_power_distribution> ; # Electric power distribution
   schema:about <http://id.loc.gov/authorities/subjects/sh85041904> ; # Electric power-plants--Load
   schema:alternateName "Short term load forecasting error distributions and implications for renewable integration studies" ;
   schema:author <http://viaf.org/viaf/232068279> ; # Debra Lew
   schema:author <http://viaf.org/viaf/231908220> ; # Bri-Mathias Hodge
   schema:author <http://viaf.org/viaf/9604610> ; # Michael R. Milligan
   schema:bookFormat schema:EBook ;
   schema:contributor <http://viaf.org/viaf/168627326> ; # National Renewable Energy Laboratory (U.S.),
   schema:contributor <http://experiment.worldcat.org/entity/work/data/1236715024#Meeting/ieee_green_technologies_conference_2013_denver_colo> ; # IEEE Green Technologies Conference (2013 : Denver, Colo.),
   schema:datePublished "2013" ;
   schema:description "Load forecasting in the day-ahead timescale is a critical aspect of power system operations that is used in the unit commitment process. It is also an important factor in renewable energy integration studies, where the combination of load and wind or solar forecasting techniques create the net load uncertainty that must be managed by the economic dispatch process or with suitable reserves. An understanding of that load forecasting errors that may be expected in this process can lead to better decisions about the amount of reserves necessary to compensate errors. In this work, we performed a statistical analysis of the day-ahead (and two-day-ahead) load forecasting errors observed in two independent system operators for a one-year period. Comparisons were made with the normal distribution commonly assumed in power system operation simulations used for renewable power integration studies. Further analysis identified time periods when the load is more likely to be under- or overforecast."@en ;
   schema:exampleOfWork <http://worldcat.org/entity/work/id/1236715024> ;
   schema:genre "Government publication"@en ;
   schema:genre "Conference papers and proceedings"@en ;
   schema:genre "National government publication"@en ;
   schema:genre "Conference publication"@en ;
   schema:inLanguage "en" ;
   schema:isPartOf <http://experiment.worldcat.org/entity/work/data/1236715024#Series/nrel_cp> ; # NREL/CP ;
   schema:isPartOf <http://experiment.worldcat.org/entity/work/data/1236715024#Series/conference_paper_national_renewable_energy_laboratory_u_s> ; # Conference paper (National Renewable Energy Laboratory (U.S.)) ;
   schema:name "Short-term load forecasting error distributions and implications for renewable integration studies : preprint"@en ;
   schema:productID "839964796" ;
   schema:url <http://www.nrel.gov/docs/fy13osti/57340.pdf> ;
   schema:url <http://purl.fdlp.gov/GPO/gpo37417> ;
   wdrs:describedby <http://www.worldcat.org/title/-/oclc/839964796> ;
    .


Related Entities

<http://experiment.worldcat.org/entity/work/data/1236715024#Meeting/ieee_green_technologies_conference_2013_denver_colo> # IEEE Green Technologies Conference (2013 : Denver, Colo.),
    a bgn:Meeting, schema:Event ;
   schema:location <http://experiment.worldcat.org/entity/work/data/1236715024#Place/denver_colo> ; # Denver, Colo.),
   schema:name "IEEE Green Technologies Conference (2013 : Denver, Colo.)," ;
    .

<http://experiment.worldcat.org/entity/work/data/1236715024#Place/denver_colo> # Denver, Colo.),
    a schema:Place ;
   schema:name "Denver, Colo.)," ;
    .

<http://experiment.worldcat.org/entity/work/data/1236715024#Series/conference_paper_national_renewable_energy_laboratory_u_s> # Conference paper (National Renewable Energy Laboratory (U.S.)) ;
    a bgn:PublicationSeries ;
   schema:hasPart <http://www.worldcat.org/oclc/839964796> ; # Short-term load forecasting error distributions and implications for renewable integration studies : preprint
   schema:name "Conference paper (National Renewable Energy Laboratory (U.S.)) ;" ;
    .

<http://experiment.worldcat.org/entity/work/data/1236715024#Series/nrel_cp> # NREL/CP ;
    a bgn:PublicationSeries ;
   schema:hasPart <http://www.worldcat.org/oclc/839964796> ; # Short-term load forecasting error distributions and implications for renewable integration studies : preprint
   schema:name "NREL/CP ;" ;
    .

<http://id.loc.gov/authorities/subjects/sh85041904> # Electric power-plants--Load
    a schema:Intangible ;
   schema:name "Electric power-plants--Load"@en ;
    .

<http://id.loc.gov/authorities/subjects/sh85041927> # Electric power systems--Load dispatching
    a schema:Intangible ;
   schema:name "Electric power systems--Load dispatching"@en ;
    .

<http://id.worldcat.org/fast/1094570> # Renewable energy sources
    a schema:Intangible ;
   schema:name "Renewable energy sources"@en ;
    .

<http://id.worldcat.org/fast/905420> # Electric power distribution
    a schema:Intangible ;
   schema:name "Electric power distribution"@en ;
    .

<http://id.worldcat.org/fast/905561> # Electric power systems--Load dispatching
    a schema:Intangible ;
   schema:name "Electric power systems--Load dispatching"@en ;
    .

<http://id.worldcat.org/fast/905712> # Electric power-plants--Load
    a schema:Intangible ;
   schema:name "Electric power-plants--Load"@en ;
    .

<http://viaf.org/viaf/168627326> # National Renewable Energy Laboratory (U.S.),
    a schema:Organization ;
   schema:name "National Renewable Energy Laboratory (U.S.)," ;
    .

<http://viaf.org/viaf/231908220> # Bri-Mathias Hodge
    a schema:Person ;
   schema:familyName "Hodge" ;
   schema:givenName "Bri-Mathias" ;
   schema:name "Bri-Mathias Hodge" ;
    .

<http://viaf.org/viaf/232068279> # Debra Lew
    a schema:Person ;
   schema:familyName "Lew" ;
   schema:givenName "Debra" ;
   schema:name "Debra Lew" ;
    .

<http://viaf.org/viaf/9604610> # Michael R. Milligan
    a schema:Person ;
   schema:familyName "Milligan" ;
   schema:givenName "Michael R." ;
   schema:name "Michael R. Milligan" ;
    .

<http://www.worldcat.org/title/-/oclc/839964796>
    a genont:InformationResource, genont:ContentTypeGenericResource ;
   schema:about <http://www.worldcat.org/oclc/839964796> ; # Short-term load forecasting error distributions and implications for renewable integration studies : preprint
   schema:dateModified "2016-05-11" ;
   void:inDataset <http://purl.oclc.org/dataset/WorldCat> ;
    .


Content-negotiable representations

Close Window

Please sign in to WorldCat 

Don't have an account? You can easily create a free account.