• No results found

Forecasting Mid-Term Electricity Market Clearing Price Using Support Vector Machines

N/A
N/A
Protected

Academic year: 2021

Share "Forecasting Mid-Term Electricity Market Clearing Price Using Support Vector Machines"

Copied!
138
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1.4:  Sample Electricity Bill in California [7]
Figure 3.1: PJM Electricity Market [64]
Figure 4.1: Single SVM and Single LSSVM Based Mid-Term Electricity MCP Forecasting  Models Architecture
Figure 4.2: Forecasted Electricity MCP in June 2009 Using a Single SVM and a Single LSSVM  Forecasting Models
+7

References

Related documents

Among these five methods parti- tion based methods, k-means (KM), Fuzzy c-Means (FCM) and Gustafson–Kessel (GK) clustering algorithms are imple- mented using two well known data

Sequence 2: The lower Danian TAGC-1.1 (“Tejas A, Gulf Coast Cycle”) sequence comprises the Clayton Basal Sands and the overlying Pine Barren Member of the Clayton Fm (Donovan et

No research report shall be published until the President shall have submitted to each member of the Board the manuscript proposed for publication, and such infor- mation as will,

On the basis of this concept, the author will present the oral rehabilitation of a bu- limic patient using an additive treatment in composite without dental preparation and which

Along with the completed agreement form, you must submit an additional copy of both the signed title page and the abstract (350 words maximum) for Dissertation Abstracts

This result shows that SWFs behave in a countercyclical way in their equity acquisition strategy: in stark contrast with the existing empirical literature about other

This information or any portion may not be copied or disseminated in any form or by any means or stored in an electronic database or retrieval system without the express

A successful business model innovation requires three important ingredients; recognizing the need to migrate the business model to the next cycle as value