198 related articles for article (PubMed ID: 36366021)
1. Wavelet LSTM for Fault Forecasting in Electrical Power Grids.
Branco NW; Cavalca MSM; Stefenon SF; Leithardt VRQ
Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36366021
[TBL] [Abstract][Full Text] [Related]
2. Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models.
Sopelsa Neto NF; Stefenon SF; Meyer LH; Ovejero RG; Leithardt VRQ
Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015882
[TBL] [Abstract][Full Text] [Related]
3. A New Hybrid Forecasting Model Based on SW-LSTM and Wavelet Packet Decomposition: A Case Study of Oil Futures Prices.
Wang J; Wang J
Comput Intell Neurosci; 2021; 2021():7653091. PubMed ID: 34335724
[TBL] [Abstract][Full Text] [Related]
4. An innovative coupled model in view of wavelet transform for predicting short-term PM10 concentration.
Qiao W; Wang Y; Zhang J; Tian W; Tian Y; Yang Q
J Environ Manage; 2021 Jul; 289():112438. PubMed ID: 33872873
[TBL] [Abstract][Full Text] [Related]
5. An ensemble method to forecast 24-h ahead solar irradiance using wavelet decomposition and BiLSTM deep learning network.
Singla P; Duhan M; Saroha S
Earth Sci Inform; 2022; 15(1):291-306. PubMed ID: 34804244
[TBL] [Abstract][Full Text] [Related]
6. Optimized EWT-Seq2Seq-LSTM with Attention Mechanism to Insulators Fault Prediction.
Klaar ACR; Stefenon SF; Seman LO; Mariani VC; Coelho LDS
Sensors (Basel); 2023 Mar; 23(6):. PubMed ID: 36991913
[TBL] [Abstract][Full Text] [Related]
7. Forecasting stock prices with long-short term memory neural network based on attention mechanism.
Qiu J; Wang B; Zhou C
PLoS One; 2020; 15(1):e0227222. PubMed ID: 31899770
[TBL] [Abstract][Full Text] [Related]
8. Predicting Energy Consumption Using LSTM, Multi-Layer GRU and Drop-GRU Neural Networks.
Mahjoub S; Chrifi-Alaoui L; Marhic B; Delahoche L
Sensors (Basel); 2022 May; 22(11):. PubMed ID: 35684681
[TBL] [Abstract][Full Text] [Related]
9. IGBT Fault Prediction Combining Terminal Characteristics and Artificial Intelligence Neural Network.
Li C
Comput Math Methods Med; 2022; 2022():7459354. PubMed ID: 35872937
[TBL] [Abstract][Full Text] [Related]
10. A Novel Method for Regional NO
Liu B; Zhang L; Wang Q; Chen J
Comput Intell Neurosci; 2021; 2021():6631614. PubMed ID: 33927755
[TBL] [Abstract][Full Text] [Related]
11. An explainable multiscale LSTM model with wavelet transform and layer-wise relevance propagation for daily streamflow forecasting.
Tao L; Cui Z; He Y; Yang D
Sci Total Environ; 2024 Jun; 929():172465. PubMed ID: 38615782
[TBL] [Abstract][Full Text] [Related]
12. Artificial Intelligence based accurately load forecasting system to forecast short and medium-term load demands.
Butt FM; Hussain L; Mahmood A; Lone KJ
Math Biosci Eng; 2020 Dec; 18(1):400-425. PubMed ID: 33525099
[TBL] [Abstract][Full Text] [Related]
13. A hybrid model integrating long short-term memory with adaptive genetic algorithm based on individual ranking for stock index prediction.
Zeng X; Cai J; Liang C; Yuan C
PLoS One; 2022; 17(8):e0272637. PubMed ID: 35976906
[TBL] [Abstract][Full Text] [Related]
14. Deep Learning with LPC and Wavelet Algorithms for Driving Fault Diagnosis.
Gong CA; Su CS; Liu YE; Guu DY; Chen YH
Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146421
[TBL] [Abstract][Full Text] [Related]
15. Research on machine learning hybrid framework by coupling grid-based runoff generation model and runoff process vectorization for flood forecasting.
Liu C; Xie T; Li W; Hu C; Jiang Y; Li R; Song Q
J Environ Manage; 2024 Jul; 364():121466. PubMed ID: 38870784
[TBL] [Abstract][Full Text] [Related]
16. A novel model based on CEEMDAN, IWOA, and LSTM for ultra-short-term wind power forecasting.
Yang S; Yuan A; Yu Z
Environ Sci Pollut Res Int; 2023 Jan; 30(5):11689-11705. PubMed ID: 36098919
[TBL] [Abstract][Full Text] [Related]
17. A deep learning framework for financial time series using stacked autoencoders and long-short term memory.
Bao W; Yue J; Rao Y
PLoS One; 2017; 12(7):e0180944. PubMed ID: 28708865
[TBL] [Abstract][Full Text] [Related]
18. Short-Time Wavelet Entropy Integrating Improved LSTM for Fault Diagnosis of Modular Multilevel Converter.
Han Y; Qi W; Ding N; Geng Z
IEEE Trans Cybern; 2022 Aug; 52(8):7504-7512. PubMed ID: 33400670
[TBL] [Abstract][Full Text] [Related]
19. The Prediction of Enterprise Stock Change Trend by Deep Neural Network Model.
Ma G; Chen P; Liu Z; Liu J
Comput Intell Neurosci; 2022; 2022():9193055. PubMed ID: 35958787
[TBL] [Abstract][Full Text] [Related]
20. A comparative study of data-driven models for runoff, sediment, and nitrate forecasting.
Zamani MG; Nikoo MR; Rastad D; Nematollahi B
J Environ Manage; 2023 Sep; 341():118006. PubMed ID: 37163836
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
