A power load forecast approach based on spatial‐temporal clustering of load data

Research article (Concurrency and Computation Practice and Experience, 2017) · cited 10× · AI/ML
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A power load forecast approach based on spatial‐temporal clustering of load data

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A power load forecast approach based on spatial‐temporal clustering of load data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A power load forecast approach based on spatial‐temporal clustering of load data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-power-load-forecast-approach-based-on-spatialtemporal-clustering-of-load-data
MLA “A power load forecast approach based on spatial‐temporal clustering of load data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-power-load-forecast-approach-based-on-spatialtemporal-clustering-of-load-data.
BibTeX @misc{4ortxyz_a-power-load-forecast-approach-based-on-spatialtemporal-clustering-of-load-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A power load forecast approach based on spatial‐temporal clustering of load data}}, year = {2026}, url = {https://4ort.xyz/entity/a-power-load-forecast-approach-based-on-spatialtemporal-clustering-of-load-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A power load forecast approach based on spatial‐temporal clustering of load data — https://4ort.xyz/entity/a-power-load-forecast-approach-based-on-spatialtemporal-clustering-of-load-data (retrieved 2026-05-24)

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