KnowSite: Leveraging Urban Knowledge Graph for Site Selection
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Updated
Sep 17, 2023 - Python
KnowSite: Leveraging Urban Knowledge Graph for Site Selection
Public charging station utilization dataset for the city of Hamburg. Dataset is described in the respective paper: Placing BEV Charging Infrastructure: Influencing Factors, Metrics, and their Influence on Observed Charger Utilization
⚗️ A repository for open and community driven case studies using the Dotlas API, curated by Dotlas
Coco provides a fast, exact method to solve variations of the Reserve Selection problem including connectivity. It provides a python implementation using the Gurobi ILP solver
A multi-criteria decision analysis (MCDA)-based composite proxy target variable generation technique for business decision modeling that uses relevant features or independent variables conceptually related to the intended target variable.
String matching with regrex to extract Nevada site selection factors
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