Fig. 3: Temporal clustering output from an integrated clustering-optimization framework. | Communications Earth & Environment

Fig. 3: Temporal clustering output from an integrated clustering-optimization framework.

From: Addressing extreme weather events for the renewable power-water-heating sectors in Neom, Saudi Arabia

Fig. 3: Temporal clustering output from an integrated clustering-optimization framework.

Eleven years of data (in gray) for Neom were clustered into 20 representative days (in black). The attributes used in the clustering are (a) wind speed (in meters per second), (b) temperature (in degrees Celsius), (c) direct normal irradiance (DNI, in watts per square meter), (d) global horizontal irradiance (GHI, in watts per square meter), (e) normalized water demand, and (f) normalized power demand. Data are presented for Region 7. Four extreme days (in red) are depicted from the fully renewable case.

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