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A list of all pages that have property "OpenEI/PageDescription" with value "Join NREL, Sandia, and PNNL on February 18th at 12 p.m. ET to learn about new developments in the [https://mhkit-software.github.io/MHKiT/ Marine and Hydrokinetic Toolkit (MHKiT)], an open-source software package developed in Python and Matlab that includes modules for ingesting, quality controlling, processing, visualizing, and managing marine energy data. The February 10th webinar will focus on MHKiT-Python, and will include demonstrations in Python. The February 18th webinar will focus on MHKiT-Matlab, and include Matlab demonstrations. Register now to learn about MHKiT functionality for ingesting modeled and observational data, applying quality control checks to the data, performing resource and power performance assessments, and characterizing mechanical loads. It is recommended that webinar attendees [https://mhkit-software.github.io/MHKiT/installation.html preinstall MHKiT and its dependencies] by following the instructions on the installation page so they can follow along and try demonstrated functionality during the webinar.". Since there have been only a few results, also nearby values are displayed.

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    • Event:Introduction to New Open-source Marine Energy Software Package, MHKiT-MATLAB  + (Join NREL, Sandia, and PNNL on February 18
      Join NREL, Sandia, and PNNL on February 18th at 12 p.m. ET to learn about new developments in the [https://mhkit-software.github.io/MHKiT/ Marine and Hydrokinetic Toolkit (MHKiT)], an open-source software package developed in Python and Matlab that includes modules for ingesting, quality controlling, processing, visualizing, and managing marine energy data. The February 10th webinar will focus on MHKiT-Python, and will include demonstrations in Python. The February 18th webinar will focus on MHKiT-Matlab, and include Matlab demonstrations. Register now to learn about MHKiT functionality for ingesting modeled and observational data, applying quality control checks to the data, performing resource and power performance assessments, and characterizing mechanical loads. It is recommended that webinar attendees [https://mhkit-software.github.io/MHKiT/installation.html preinstall MHKiT and its dependencies] by following the instructions on the installation page so they can follow along and try demonstrated functionality during the webinar.
      nstrated functionality during the webinar.)