Spatial autocorrelation and entropy for renewable energy forecasting
Research article (Data Mining and Knowledge Discovery, 2019) · cited 63× · AI/ML
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4ort.xyz Knowledge Graph. (2026). Spatial autocorrelation and entropy for renewable energy forecasting. Retrieved October 18, 2026, from https://4ort.xyz/entity/spatial-autocorrelation-and-entropy-for-renewable-energy-forecasting
“Spatial autocorrelation and entropy for renewable energy forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/spatial-autocorrelation-and-entropy-for-renewable-energy-forecasting.
@misc{4ortxyz_spatial-autocorrelation-and-entropy-for-renewable-energy-forecasting_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Spatial autocorrelation and entropy for renewable energy forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/spatial-autocorrelation-and-entropy-for-renewable-energy-forecasting}, note = {Accessed: 2026-10-18}}
According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Spatial autocorrelation and entropy for renewable energy forecasting — https://4ort.xyz/entity/spatial-autocorrelation-and-entropy-for-renewable-energy-forecasting (retrieved 2026-10-18)
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