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DeepOPF+: A Deep Neural Network Approach for DC Optimal Power Flow for Ensuring Feasibility
Research article (2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 2020) · cited 35× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). DeepOPF+: A Deep Neural Network Approach for DC Optimal Power Flow for Ensuring Feasibility. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepopf-a-deep-neural-network-approach-for-dc-optimal-power-flow-for-ensuring-feasibility
MLA“DeepOPF+: A Deep Neural Network Approach for DC Optimal Power Flow for Ensuring Feasibility.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepopf-a-deep-neural-network-approach-for-dc-optimal-power-flow-for-ensuring-feasibility.
BibTeX@misc{4ortxyz_deepopf-a-deep-neural-network-approach-for-dc-optimal-power-flow-for-ensuring-feasibility_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepOPF+: A Deep Neural Network Approach for DC Optimal Power Flow for Ensuring Feasibility}}, year = {2026}, url = {https://4ort.xyz/entity/deepopf-a-deep-neural-network-approach-for-dc-optimal-power-flow-for-ensuring-feasibility}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeepOPF+: A Deep Neural Network Approach for DC Optimal Power Flow for Ensuring Feasibility — https://4ort.xyz/entity/deepopf-a-deep-neural-network-approach-for-dc-optimal-power-flow-for-ensuring-feasibility (retrieved 2026-05-24)