Symbolic and connectionist machine learning techniques for short-term electric load forecasting

This work applies connectionist neural network learning techniques and symbolic machine learning techniques to the problem of short-term electric load forecasting. The short-term electric load forecasting problem considered here is the prediction of bus loads one day ahead. The forecast quantities o...

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Bibliographic Details
Main Author: Rajagopalan, Jayendar
Other Authors: Electrical Engineering
Format: Others
Language:en
Published: Virginia Tech 2014
Subjects:
Online Access:http://hdl.handle.net/10919/44403
http://scholar.lib.vt.edu/theses/available/etd-08222009-040506/

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