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20172020
most citedAn Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending

4 citations · 13 across the 8 of their papers we have counts for

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math.OC2017★ 2 cited

Where computer vision can aid physics: dynamic cloud motion forecasting from satellite images

Sergiy Zhuk, Tigran Tchrakian, Albert Akhriev +2

This paper describes a new algorithm for solar energy forecasting from a sequence of Cloud Optical Depth (COD) images. The algorithm is based on the following simple observation: t…