Divide and conquer? : k-means clustering of demand data allows rapid and accurate simulations of the British electricity system
Year of publication: |
2014
|
---|---|
Authors: | Green, Richard ; Staffell, Iain ; Vasilakos, Nicholas |
Published in: |
IEEE transactions on engineering management : EM. - New York, NY : IEEE, ISSN 0018-9391, ZDB-ID 160438-7. - Vol. 61.2014, 2, p. 251-260
|
Subject: | Electricity demand | k-means clustering | simulations | wind generation | Simulation | Elektrizitätswirtschaft | Electric power industry | Großbritannien | United Kingdom | Energiekonsum | Energy consumption | Elektrizität | Electricity | Regionales Cluster | Regional cluster | Nachfrage | Demand | Theorie | Theory | Windenergie | Wind energy |
-
Residual demand modeling and application to electricity pricing
Wagner, Andreas, (2014)
-
Exponential smoothing with covariates applied to electricity demand forecast
Bermúdez, José D., (2013)
-
Switching to green electricity : spillover effects on household consumption
Sommer, Stephan, (2018)
- More ...
-
How does wind farm performance decline with age?
Staffell, Iain, (2014)
-
The Contribution of Taxes, Subsidies and Regulations to British Electricity Decarbonisation
Green, Richard, (2021)
-
How Large Should a Portfolio of Wind Farms Be?
Green, Richard, (2015)
- More ...