Neural network, ARX, and extreme learning machine models for the short-term prediction of temperature in buildings

Primož Potočnik; Boris Vidrih; Andrej Kitanovski; Edvard Govekar

doi:10.1007/s12273-019-0548-y

Neural network, ARX, and extreme learning machine models for the short-term prediction of temperature in buildings

Building Simulation ◽

10.1007/s12273-019-0548-y ◽

2019 ◽

Vol 12 (6) ◽

pp. 1077-1093 ◽

Cited By ~ 6

Author(s):

Primož Potočnik ◽

Boris Vidrih ◽

Andrej Kitanovski ◽

Edvard Govekar

Keyword(s):

Neural Network ◽

Extreme Learning Machine ◽

Short Term ◽

Term Prediction ◽

Learning Machine ◽

Short Term Prediction

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Jointly Optimized Extreme Learning Machine for Short-Term Prediction of Fading Channel

IEEE Access ◽

10.1109/access.2018.2868480 ◽

2018 ◽

Vol 6 ◽

pp. 49029-49039 ◽

Cited By ~ 11

Author(s):

Yongbo Sui ◽

Wenxin Yu ◽

Qiwu Luo

Keyword(s):

Extreme Learning Machine ◽

Fading Channel ◽

Short Term ◽

Term Prediction ◽

Learning Machine ◽

Short Term Prediction

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Short Term Prediction of Continuous Time Series Based on Extreme Learning Machine

Proceedings in Adaptation, Learning and Optimization - Proceedings of ELM-2016 ◽

10.1007/978-3-319-57421-9_10 ◽

2017 ◽

pp. 113-127

Author(s):

Hongbo Wang ◽

Peng Song ◽

Chengyao Wang ◽

Xuyan Tu

Keyword(s):

Time Series ◽

Extreme Learning Machine ◽

Continuous Time ◽

Short Term ◽

Term Prediction ◽

Learning Machine ◽

Short Term Prediction

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Short–Term Prediction of Available Parking Space Based on Improved Wavelet Neural Network

CICTP 2020 ◽

10.1061/9780784483053.284 ◽

2020 ◽

Author(s):

Jinfen Wang ◽

Xiaofei Ye ◽

Zhen Yang ◽

Qiming Ye ◽

Chang Yang

Keyword(s):

Neural Network ◽

Wavelet Neural Network ◽

Parking Space ◽

Short Term ◽

Term Prediction ◽

Short Term Prediction

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Short-term prediction of BP neural network based on difference method

2020 19th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES) ◽

10.1109/dcabes50732.2020.00024 ◽

2020 ◽

Author(s):

Hu Menghui ◽

Liu Yian

Keyword(s):

Neural Network ◽

Bp Neural Network ◽

Difference Method ◽

Short Term ◽

Term Prediction ◽

Short Term Prediction

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Multi-kernel based Random Vector Functional Link Neural Network for Short-term Prediction of Wind Speed

10.1109/apsit52773.2021.9641314 ◽

2021 ◽

Author(s):

Sniedha Sarangi ◽

Prdipta Kishore Dash ◽

Badri Narayan Sahoo ◽

Ranjeeta Bisoi

Keyword(s):

Neural Network ◽

Wind Speed ◽

Random Vector ◽

Short Term ◽

Functional Link ◽

Term Prediction ◽

Short Term Prediction ◽

Functional Link Neural Network

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The Use of Meteorology Data in Short-Term Prediction of Wind Speed for Wind Turbine Using Elman Recurrent Neural Network

2020 International Conference on Data Science, Artificial Intelligence, and Business Analytics (DATABIA) ◽

10.1109/databia50434.2020.9190628 ◽

2020 ◽

Author(s):

Riswan Dinzi ◽

Muhammad Yusuf ◽

Fahmi Fahmi

Keyword(s):

Neural Network ◽

Wind Speed ◽

Wind Turbine ◽

Recurrent Neural Network ◽

Short Term ◽

Term Prediction ◽

Short Term Prediction ◽

Elman Recurrent Neural Network

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Recurrent probabilistic neural network-based short-term prediction for acute hypotension and ventricular fibrillation

Scientific Reports ◽

10.1038/s41598-020-68627-6 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Toshio Tsuji ◽

Tomonori Nobukawa ◽

Akihisa Mito ◽

Harutoyo Hirano ◽

Zu Soh ◽

...

Keyword(s):

Neural Network ◽

Ventricular Fibrillation ◽

Probabilistic Neural Network ◽

Short Term ◽

Term Prediction ◽

Acute Hypotension ◽

Short Term Prediction

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Applying artificial neural network to the short-term prediction of electron density structure using GPS occultation data

Geophysical Research Letters ◽

10.1029/2001gl013656 ◽

2002 ◽

Vol 29 (9) ◽

pp. 35-1-35-4 ◽

Cited By ~ 5

Author(s):

Zhen Zeng ◽

Xiong Hu ◽

Xunjie Zhang

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Electron Density ◽

Density Structure ◽

Short Term ◽

Term Prediction ◽

Artificial Neural ◽

Occultation Data ◽

Short Term Prediction ◽

Gps Occultation

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A Hybrid Short-Term Wind Speed Forecasting Model Based on Wavelet Decomposition and Extreme Learning Machine

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.860-863.361 ◽

2013 ◽

Vol 860-863 ◽

pp. 361-367 ◽

Cited By ~ 1

Author(s):

Yi Hui Zhang ◽

He Wang ◽

Zhi Jian Hu ◽

Kai Wang ◽

Yan Li ◽

...

Keyword(s):

Wind Speed ◽

Extreme Learning Machine ◽

Wavelet Decomposition ◽

Forecasting Model ◽

Short Term ◽

Machine Model ◽

Wind Speed Prediction ◽

Speed Prediction ◽

Learning Machine ◽

Short Term Prediction

This paper studied the short-term prediction of wind speed by means of wavelet decomposition and Extreme Learning Machine. Wind speed signal was decomposed into several sequences by wavelet decomposition to reduce the non-stationary. Secondly, the phase space reconstructed was used to mine sequences characteristics, and then an improved extreme learning machine model of each component was established. Finally, the results of each component forecast superimposed to get the final result. The simulation result verified that the hybrid model effectively improved the wind speed prediction accuracy.

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Short-term prediction of wind power using a hybrid pseudo-inverse Legendre neural network and adaptive firefly algorithm

Neural Computing and Applications ◽

10.1007/s00521-017-3185-3 ◽

2017 ◽

Vol 31 (7) ◽

pp. 2243-2268 ◽

Cited By ~ 9

Author(s):

S. P. Mishra ◽

P. K. Dash

Keyword(s):

Neural Network ◽

Wind Power ◽

Firefly Algorithm ◽

Short Term ◽

Term Prediction ◽

Short Term Prediction ◽

Pseudo Inverse

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