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Deep Spatial-Temporal 2-D CNN-BLSTM Model for Ultrashort-Term LiDAR-Assisted Wind Turbine's Power and Fatigue Load Forecasting
Research article (IEEE Transactions on Industrial Informatics, 2021) · cited 55× · AI/ML
Deep Spatial-Temporal 2-D CNN-BLSTM Model for Ultrashort-Term LiDAR-Assisted Wind Turbine's Power and Fatigue Load Forecasting
Summary
Deep Spatial-Temporal 2-D CNN-BLSTM Model for Ultrashort-Term LiDAR-Assisted Wind Turbine's Power and Fatigue Load Forecasting is a scholarly article[1].
Key Facts
Deep Spatial-Temporal 2-D CNN-BLSTM Model for Ultrashort-Term LiDAR-Assisted Wind Turbine's Power and Fatigue Load Forecasting's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Deep Spatial-Temporal 2-D CNN-BLSTM Model for Ultrashort-Term LiDAR-Assisted Wind Turbine's Power and Fatigue Load Forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-spatial-temporal-2-d-cnn-blstm-model-for-ultrashort-term-lidar-assisted-wind-turbine-s-power-and-fatigue-load-forec
MLA“Deep Spatial-Temporal 2-D CNN-BLSTM Model for Ultrashort-Term LiDAR-Assisted Wind Turbine's Power and Fatigue Load Forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-spatial-temporal-2-d-cnn-blstm-model-for-ultrashort-term-lidar-assisted-wind-turbine-s-power-and-fatigue-load-forec.
BibTeX@misc{4ortxyz_deep-spatial-temporal-2-d-cnn-blstm-model-for-ultrashort-term-lidar-assisted-wind-turbine-s-power-and-fatigue-load-forec_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Spatial-Temporal 2-D CNN-BLSTM Model for Ultrashort-Term LiDAR-Assisted Wind Turbine's Power and Fatigue Load Forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/deep-spatial-temporal-2-d-cnn-blstm-model-for-ultrashort-term-lidar-assisted-wind-turbine-s-power-and-fatigue-load-forec}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Spatial-Temporal 2-D CNN-BLSTM Model for Ultrashort-Term LiDAR-Assisted Wind Turbine's Power and Fatigue Load Forecasting — https://4ort.xyz/entity/deep-spatial-temporal-2-d-cnn-blstm-model-for-ultrashort-term-lidar-assisted-wind-turbine-s-power-and-fatigue-load-forec (retrieved 2026-05-24)
