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1
Conditional density forecast of China's energy demand via QRNN model
Cao, Shubo
;
Xu, Qifa
;
Jiang, Cuixia
;
He, Yaoyao
- In:
Applied economics letters
25
(
2018
)
12
,
pp. 867-875
Persistent link: https://www.econbiz.de/10012130465
Saved in:
2
Forecast of Iran's electricity consumption using a combined approach of neural networks and econometrics
Aghaeifar, Roya
;
Pourkazemi, Mohammad Hossein
- In:
Iranian economic review : journal of University of Tehran
17
(
2013
)
3
,
pp. 139-159
Persistent link: https://www.econbiz.de/10010347503
Saved in:
3
Electricity consumption prediction using artificial intelligence
Čegovnik, Tomaž
;
Dobrovoljc, Andrej
;
Povh, Janez
; …
- In:
Central European journal of operations research
31
(
2023
)
3
,
pp. 833-851
Persistent link: https://www.econbiz.de/10014326562
Saved in:
4
A hybrid machine learning model for
forecasting
a billing period’s peak electric load days
Saxena, Harshit
;
Aponte, Omar
;
McConky, Katie T.
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1288-1303
Persistent link: https://www.econbiz.de/10012305279
Saved in:
5
A comparison of univariate methods for
forecasting
electricity demand up to a day ahead
Taylor, James W.
;
De Menezes, Lilian M.
;
McSharry, …
- In:
International journal of forecasting
22
(
2006
)
1
,
pp. 1-16
Persistent link: https://www.econbiz.de/10003283925
Saved in:
6
Machine learning in energy forecasts with an application to high frequency electricity consumption data
Heilmann, Erik
;
Henze, Janosch
;
Wetzel, Heike
-
2021
Forecasting
plays an essential role in energy economics. With new challenges and use cases in the energy system …
Persistent link: https://www.econbiz.de/10012649104
Saved in:
7
Electricity consumption prediction using a neural-network-based grey
forecasting
approach
Hu, Yi-Chung
- In:
Journal of the Operational Research Society : OR
68
(
2017
)
10
,
pp. 1259-1264
Persistent link: https://www.econbiz.de/10011804142
Saved in:
8
Linear optimal weighting estimator (LOWE) for efficient parallel hybridization of load forecasts
Chahkotahi, Fatemeh
;
Khashei, Mehdi
- In:
Journal of modelling in management
17
(
2022
)
3
,
pp. 1028-1048
Persistent link: https://www.econbiz.de/10013362699
Saved in:
9
Artificial intelligence in energy industry :
forecasting
electricity consumption through cohort intelligence & adaptive neural fuzzy inference system
Tutun, Salih
;
Tosyali, Ali
;
Sangrody, Hossein
; …
- In:
Journal of business analytics
6
(
2023
)
1
,
pp. 59-76
Persistent link: https://www.econbiz.de/10013536148
Saved in:
10
Electrical load
forecasting
to plan the increase in renewable energy sources and electricity demand : a CNN-QR-RTCF and deep learning approach
Jiotsop-Foze, Wellcome Peujio
;
Hernández-del-Valle, Adrián
- In:
International Journal of Energy Economics and Policy : IJEEP
14
(
2024
)
4
,
pp. 186-194
Persistent link: https://www.econbiz.de/10014635888
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