Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price

Research article (Energy Economics, 2024) · cited 26× · AI/ML
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Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price

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Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price. Retrieved May 24, 2026, from https://4ort.xyz/entity/model-driven-multimodal-lstm-cnn-for-unbiased-structural-forecasting-of-european-union-allowances-open-high-low-close-pr
MLA “Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/model-driven-multimodal-lstm-cnn-for-unbiased-structural-forecasting-of-european-union-allowances-open-high-low-close-pr.
BibTeX @misc{4ortxyz_model-driven-multimodal-lstm-cnn-for-unbiased-structural-forecasting-of-european-union-allowances-open-high-low-close-pr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price}}, year = {2026}, url = {https://4ort.xyz/entity/model-driven-multimodal-lstm-cnn-for-unbiased-structural-forecasting-of-european-union-allowances-open-high-low-close-pr}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Model-driven multimodal LSTM-CNN for unbiased structural forecasting of European Union allowances open-high-low-close price — https://4ort.xyz/entity/model-driven-multimodal-lstm-cnn-for-unbiased-structural-forecasting-of-european-union-allowances-open-high-low-close-pr (retrieved 2026-05-24)

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