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~subject:"Neural networks"
~type_genre:"Article in journal"
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Search: subject_exact:"Energy forecast"
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Energieprognose
95
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ECONIS (ZBW)
13
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1
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:
2
Daily peak electrical load forecasting with a multi-resolution approach
Amara-Ouali, Yvenn
;
Fasiolo, Matteo
;
Goude, Yannig
;
Yan, Hui
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1272-1286
Persistent link: https://www.econbiz.de/10014465270
Saved in:
3
Nonlinearity in forecasting energy commodity prices : evidence from a focused time-delayed neural network
Bouteska, Ahmed
;
Hájek, Petr
;
Fisher, Ben
;
Abedin, …
- In:
Research in international business and finance
64
(
2023
),
pp. 1-15
Persistent link: https://www.econbiz.de/10014266733
Saved in:
4
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:
5
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:
6
Performance evaluation of forecasting models based on time series and machine learning techniques : an application to light fuel consumption in Brazil
Rodrigues, Lucas
;
Rodrigues, Luciano
;
Bacchi, Mirian …
- In:
International journal of energy sector management
16
(
2022
)
4
,
pp. 636-658
Persistent link: https://www.econbiz.de/10013345694
Saved in:
7
Machine learning with parallel neural networks for analyzing and forecasting electricity demand
Chen, Yi-Ting
;
Sun, Edward W.
;
Lin, Yi-Bing
- In:
Computational economics
56
(
2020
)
2
,
pp. 569-597
Persistent link: https://www.econbiz.de/10012272048
Saved in:
8
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:
9
Machine learning methods for GEFCom2017 probabilistic load forecasting
Smyl, Slawek
;
Hua, N. Grace
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1424-1431
Persistent link: https://www.econbiz.de/10012305365
Saved in:
10
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
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