http://iet.metastore.ingenta.com
1887

Intelligent systems for demand forcasting

Intelligent systems for demand forcasting

For access to this article, please select a purchase option:

Buy chapter PDF
$16.00
(plus tax if applicable)
Buy Knowledge Pack
10 chapters for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Artificial Intelligence Techniques in Power Systems — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Electricity demand forecasting within the National Grid Company (NGC) is carried out using various mathematical models. These models use comprehensive weather forecasts supplied by the UK Meteorological Office to provide short-term demand forecasts. These demand forecasts then become the vital input to schedule plant in merit order from 15 minutes to 36 hours ahead. Longer-term demand forecasts are also carried out for planning and business purposes up to five years ahead. The NGC is required to produce demand forecasts for operational, endurance and business planning in order to match generation output with demand. The National Grid system operates at 400,000 volts (400 kV) and 275,000 volts (275 kV) and enables the transmission of electrical energy across England and Wales to the customer. The flexibility of the National Grid system enables the daily and seasonal variations in customer demand for electricity and changing patterns of generation to be satisfied.

Inspec keywords: load forecasting; power grids; demand forecasting

Other keywords: customer demand; longer term demand forecast; NGC; match generation output; short term demand forecasting; Wales; electrical energy transmission; England; business planning; mathematical model; UK meteorological office; electricity demand forecasting; National Grid Company; intelligent system

Subjects: Power system planning and layout

Preview this chapter:
Zoom in
Zoomout

Intelligent systems for demand forcasting, Page 1 of 2

| /docserver/preview/fulltext/books/po/pbpo022e/PBPO022E_ch12-1.gif /docserver/preview/fulltext/books/po/pbpo022e/PBPO022E_ch12-2.gif

Related content

content/books/10.1049/pbpo022e_ch12
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address