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Roger Felix - Lund - Sweden
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Latest update:

 2002-02-20

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Download page: Download examine thesis on electric power forecasting.

This PDF  document describes methods of electric power load prediction using a seasonal ARMAX method and periodic (cyclic) models, giving an prediction error of 0.7% for an one-hour prediction horizon, and a prediction error of about 1.5% for the 24-hour  prediction horizon. The graph below shows the prediction error vs. prediction horizon for stable periods (power load influenced only by weather and time of week).


 I have knowledge in the following areas:

Electrical power engineering
Electric machinery
High voltage engineering
Power electronics
Power system measurement techniques
Power distribution systems
Control theory:
Electric power prediction
Electric machinery drives & control
In swedish, please Läs den här sidan på svenska.
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