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Multi- forword-step state of charge prediction for real-world electric vehicles battery systems using a novel LSTM-GRU hybrid neural network
Research article (eTransportation, 2024) · cited 101× · AI/ML
Multi- forword-step state of charge prediction for real-world electric vehicles battery systems using a novel LSTM-GRU hybrid neural network
Summary
Multi- forword-step state of charge prediction for real-world electric vehicles battery systems using a novel LSTM-GRU hybrid neural network is a scholarly article[1].
Key Facts
Multi- forword-step state of charge prediction for real-world electric vehicles battery systems using a novel LSTM-GRU hybrid neural network's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Multi- forword-step state of charge prediction for real-world electric vehicles battery systems using a novel LSTM-GRU hybrid neural network. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-forword-step-state-of-charge-prediction-for-real-world-electric-vehicles-battery-systems-using-a-novel-lstm-gru-hy
MLA“Multi- forword-step state of charge prediction for real-world electric vehicles battery systems using a novel LSTM-GRU hybrid neural network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-forword-step-state-of-charge-prediction-for-real-world-electric-vehicles-battery-systems-using-a-novel-lstm-gru-hy.
BibTeX@misc{4ortxyz_multi-forword-step-state-of-charge-prediction-for-real-world-electric-vehicles-battery-systems-using-a-novel-lstm-gru-hy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi- forword-step state of charge prediction for real-world electric vehicles battery systems using a novel LSTM-GRU hybrid neural network}}, year = {2026}, url = {https://4ort.xyz/entity/multi-forword-step-state-of-charge-prediction-for-real-world-electric-vehicles-battery-systems-using-a-novel-lstm-gru-hy}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi- forword-step state of charge prediction for real-world electric vehicles battery systems using a novel LSTM-GRU hybrid neural network — https://4ort.xyz/entity/multi-forword-step-state-of-charge-prediction-for-real-world-electric-vehicles-battery-systems-using-a-novel-lstm-gru-hy (retrieved 2026-05-24)
