The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri.

The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri.

<p>The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri.</p>

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Bibliographic Details
Main Author: Burak Alakent (463512) (author)
Other Authors: Erkan Isikli (21526601) (author), Cigdem Kadaifci (21526604) (author), Tonguc S. Taspinar (21526607) (author)
Published: 2025
Subjects:
Evolutionary Biology
Science Policy
Environmental Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Information Systems not elsewhere classified
wise separate features
novel feature representation
increasing almost linearly
gaussian process regression
forecast errors compared
last two decades
gpr ), uses
continuous ng supply
art combination model
particularly compared
worldwide consumption
utmost importance
two cities
test point
similar trend
query point
proposed method
promising tool
month values
kernel function
including sarima
import contracts
high dependence
gpr method
fossil fuels
ets models
current study
constructed separately
clean source
another similarity
2024 provided
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