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Energy forward price prediction with a hybrid adaptive model
Hang T. Nguyen, Ian T. Nabney
Computer Science Research Group
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Chapter in Book/Published conference output
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Dive into the research topics of 'Energy forward price prediction with a hybrid adaptive model'. Together they form a unique fingerprint.
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Business & Economics
Forward Price
100%
Conditional Model
95%
Prediction
60%
Kalman Filter
58%
Energy
56%
Electricity
41%
Hybrid Model
37%
Financial Forecasting
33%
Gas Price
29%
Market Clearing
29%
Forecasting Accuracy
28%
Energy Market
25%
Gas
19%
Methodology
12%
Performance
9%
Mathematics
Forecasting
83%
Conditional Model
71%
Autoregressive Model
59%
Prediction
58%
Electricity
50%
Energy
49%
Kalman Filter
45%
Market
37%
Gas
34%
Hybrid Model
24%
Model
24%
Update
17%
Time series
16%
Evaluate
14%
Methodology
13%
Observation
11%
Performance
10%
Engineering & Materials Science
Kalman filters
33%
Electricity
26%
Gases
20%
Time series
15%