A Class-Driven Approach Based on Long Short-Term Memory Networks for Electricity Price Scenario Generation and Reduction

Research article (IEEE Transactions on Power Systems, 2020) · cited 41× · AI/ML
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A Class-Driven Approach Based on Long Short-Term Memory Networks for Electricity Price Scenario Generation and Reduction

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A Class-Driven Approach Based on Long Short-Term Memory Networks for Electricity Price Scenario Generation and Reduction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Class-Driven Approach Based on Long Short-Term Memory Networks for Electricity Price Scenario Generation and Reduction. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-class-driven-approach-based-on-long-short-term-memory-networks-for-electricity-price-scenario-generation-and-reduction
MLA “A Class-Driven Approach Based on Long Short-Term Memory Networks for Electricity Price Scenario Generation and Reduction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-class-driven-approach-based-on-long-short-term-memory-networks-for-electricity-price-scenario-generation-and-reduction.
BibTeX @misc{4ortxyz_a-class-driven-approach-based-on-long-short-term-memory-networks-for-electricity-price-scenario-generation-and-reduction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Class-Driven Approach Based on Long Short-Term Memory Networks for Electricity Price Scenario Generation and Reduction}}, year = {2026}, url = {https://4ort.xyz/entity/a-class-driven-approach-based-on-long-short-term-memory-networks-for-electricity-price-scenario-generation-and-reduction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Class-Driven Approach Based on Long Short-Term Memory Networks for Electricity Price Scenario Generation and Reduction — https://4ort.xyz/entity/a-class-driven-approach-based-on-long-short-term-memory-networks-for-electricity-price-scenario-generation-and-reduction (retrieved 2026-05-24)

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