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Scalable Probabilistic Optimal Power Flow for High Renewables Using Lite Polynomial Chaos Expansion

Research article (IEEE Systems Journal, 2022) · cited 13× · AI/ML
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Scalable Probabilistic Optimal Power Flow for High Renewables Using Lite Polynomial Chaos Expansion

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Scalable Probabilistic Optimal Power Flow for High Renewables Using Lite Polynomial Chaos Expansion is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Scalable Probabilistic Optimal Power Flow for High Renewables Using Lite Polynomial Chaos Expansion. Retrieved May 24, 2026, from https://4ort.xyz/entity/scalable-probabilistic-optimal-power-flow-for-high-renewables-using-lite-polynomial-chaos-expansion
MLA “Scalable Probabilistic Optimal Power Flow for High Renewables Using Lite Polynomial Chaos Expansion.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/scalable-probabilistic-optimal-power-flow-for-high-renewables-using-lite-polynomial-chaos-expansion.
BibTeX @misc{4ortxyz_scalable-probabilistic-optimal-power-flow-for-high-renewables-using-lite-polynomial-chaos-expansion_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Scalable Probabilistic Optimal Power Flow for High Renewables Using Lite Polynomial Chaos Expansion}}, year = {2026}, url = {https://4ort.xyz/entity/scalable-probabilistic-optimal-power-flow-for-high-renewables-using-lite-polynomial-chaos-expansion}, note = {Accessed: 2026-05-24}}
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