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Forecasting short term wind energy generation using machine learning (title)
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book article
Forecasting short term wind energy generation using machine learning
Shabbir, Noman
;
Ahmadiahangar, Roya
;
Kütt, Lauri
;
Iqbal, Muhammad Naveed
;
Rosin, Argo
2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), 7-9 October 2019 : conference proceedings
2019
/
4 p
https://doi.org/10.1109/RTUCON48111.2019.8982365
book article
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keyword
54
1.
short-term load forecasting
2.
long-short term learning
3.
short-term energy management
4.
wind energy generation
5.
energy forecast wind energy
6.
long short term memory
7.
long short -term memory (LSTM)
8.
long short-term memory
9.
long short-term memory (LSTM)
10.
Long Short-Term Memory Networks (LSTMs)
11.
long-short term memory
12.
long-short-term memory (LSTM)
13.
short and long term prediction
14.
short-term forecast
15.
Short‐Term Scientific Mission (STSM)
16.
short-term load forecast
17.
short-term loans
18.
short-term thermal storage
19.
wind power forecasting
20.
energy forecasting
21.
photovoltaic energy forecasting
22.
wind generation
23.
wind power generation
24.
adversarial machine learning
25.
adversarial machine-learning
26.
automatic machine learning (autoML)
27.
data analytics and machine learning
28.
explainable machine learning
29.
graph machine learning
30.
interpretable machine learning
31.
machine learning
32.
machine learning (ML)
33.
machine learning algorithms
34.
machine learning approach
35.
Machine Learning Explainable model
36.
machine learning for environmental applications
37.
machine learning models
38.
machine learning systems
39.
machine-learning
40.
machine-learning predictive model
41.
Parkinson’s disease machine learning
42.
robust machine learning
43.
small data machine learning
44.
supervised machine learning
45.
unsupervised machine learning
46.
balancing wind energy
47.
offshore wind energy
48.
off-shore wind energy
49.
residential wind energy conversion system
50.
variable wind and solar energy
51.
wind energy
52.
wind energy farms
53.
wind energy forecast errors
54.
wind energy production
author
1
1.
ELIXIR Machine Learning Focus Group
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