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~subject:"Künstliche Intelligenz"
~subject:"Neural networks"
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Künstliche Intelligenz
Neural networks
Energy forecast
131
Energieprognose
123
Forecasting model
89
Prognoseverfahren
89
Forecast
67
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66
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38
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38
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31
Elektrizitätswirtschaft
31
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24
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23
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21
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19
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18
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Energy supply
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Greenhouse gas emissions
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International journal of forecasting
4
Journal of the Operational Research Society : OR
2
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1
Central European journal of operations research
1
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1
Energy economics
1
International journal of energy sector management
1
Journal of business analytics
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ECONIS (ZBW)
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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
Recent advances in intra-hour solar forecasting : a review of ground-based sky image methods
Lin, Fan
;
Zhang, Yao
;
Wang, Jianxue
- In:
International journal of forecasting
39
(
2023
)
1
,
pp. 244-265
Persistent link: https://www.econbiz.de/10014462778
Saved in:
3
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:
4
Power grid operation optimization and forecasting using a combined forecasting system
Zhang, Lifang
;
Wang, Jianzhou
;
Liu, Zhenkun
- In:
Journal of forecasting
42
(
2023
)
1
,
pp. 124-153
Persistent link: https://www.econbiz.de/10013465771
Saved in:
5
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:
6
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:
7
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
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8
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:
9
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:
10
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
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