The forecasting of transmission network loads
| Autor: | Payne, Daniel Frederik |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 1997 |
| Předmět: |
Electrical load forecast
Demand load forecast Load forecast model Demand load forecast model Point load forecast for electrical network modelling Electrical network parameter forecast MW forecast Transmission electrical network forecast Transmission electrical network demand forecast Neural networks Multiple regression 003.2 Electric networks Electric power consumption Forecasting Neural networks (Computer science) Electric power transmission |
| Druh dokumentu: | Dissertation |
| Popis: | The forecasting of Eskom transmission electrical network demands is a complex task. The lack of historical data on some of the network components complicates this task even further. In this dissertation a model is suggested which will address all the requirements of the transmission system expansion engineers in terms of future loads and market trends. Suggestions are made with respect to ways of overcoming the lack of historical data, especially on the point loads, which is a key factor in modelling the electrical networks. A brief overview of the transmission electrical network layout is included to provide a better understanding of what is required from such a forecast. Lastly, some theory on multiple regression, neural networks and qualitative forecasting techniques is included, which will be of value for further model developments. Computing M. Sc. (Operations Research) |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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