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An Online Multistep-Forward Voltage-Prediction Approach Based on an LSTM-TD Model and KF Algorithm
We propose a multistep-forward voltage-prediction approach combining a long short-term memory time-distributed model and the Kalman filter algorithm to improve prediction efficiency and reduce the demand for computing capability.
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| Published in: | Computer (Long Beach, Calif.) Calif.), 2021-08, Vol.54 (8), p.56-65 |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
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| cited_by | cdi_FETCH-LOGICAL-c289t-29303b37735dc0ae0de10752ebe885a67f4c446bc3ae645355710a141b7c1333 |
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| cites | cdi_FETCH-LOGICAL-c289t-29303b37735dc0ae0de10752ebe885a67f4c446bc3ae645355710a141b7c1333 |
| container_end_page | 65 |
| container_issue | 8 |
| container_start_page | 56 |
| container_title | Computer (Long Beach, Calif.) |
| container_volume | 54 |
| creator | Ni, Ye Xia, Zhilong Zhao, Fangtong Fang, Chunrong Chen, Zhenyu |
| description | We propose a multistep-forward voltage-prediction approach combining a long short-term memory time-distributed model and the Kalman filter algorithm to improve prediction efficiency and reduce the demand for computing capability. |
| doi_str_mv | 10.1109/MC.2021.3070314 |
| format | article |
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| fulltext | fulltext |
| identifier | ISSN: 0018-9162 |
| ispartof | Computer (Long Beach, Calif.), 2021-08, Vol.54 (8), p.56-65 |
| issn | 0018-9162 1558-0814 |
| language | eng |
| recordid | cdi_crossref_primary_10_1109_MC_2021_3070314 |
| source | IEEE Electronic Library (IEL) Journals |
| subjects | Algorithms Computational modeling Distributed memory Electric potential Kalman filters Memory management Prediction algorithms Predictive models Voltage |
| title | An Online Multistep-Forward Voltage-Prediction Approach Based on an LSTM-TD Model and KF Algorithm |
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