Abstract: A method for optimizing a parameter set for a photovoltaic (PV) soiling model including executing the PV soiling model with a first plurality of parameter sets using as input wash data to generate first predicted energy loss data, calculating first losses based on a difference between the first predicted energy loss data and time-series sensor data, executing a parameter-tuning model using as input the first plurality of parameter sets to generate a second plurality of parameter sets, executing the PV soiling model with the second plurality of parameter sets using as input the wash data to generate second predicted energy loss data, calculating second losses based on the second predicted energy loss data and the time-series sensor data, and, in response to a loss of the second losses being below a threshold, generating a data structure including a parameter set corresponding to the loss.

Abstract: A method may include retrieving, from a geographic database, geographic information of a geographic area, segmenting the geographic area into one or more regions, executing a buildability algorithm using as input the geographic information to determine buildable portions of the one or more regions, executing a PV array placement algorithm using as input a total area of the buildable portions of the one or more regions to determine a baseline PV capacity for the one or more regions, executing the PV array placement algorithm using as input the buildable portions of the one or more regions to determine an actual PV capacity for the one or more regions, and generating a data structure to associate the one or more regions with a respective ratio of the baseline PV capacity to the actual PV capacity for each of the one or more regions.