As the desire for green energy increases, more people are looking to utilize renewable technology to generate their own energy. Using SAS® Visual Analytics and the SAS® Viya® toolset, the team created a tool to assess suitability for green energy based on location, orientation and local sentiment. The tool considers where the user lives and the weather in their area, enabling individuals to decide on the best type of green energy for their location. The tool can stream live weather data from an API, providing users with an up-to-date picture of the potential energy level that would be generated at any given time from different types of renewable energy sources. Using SAS Intelligent Decisioning, the tool provides recommendations for given areas based on wind and solar factors specific to each region and sentiment analysis for the local area. This information is displayed in a SAS Visual Analytics dashboard, presenting the user with the recommendation and summary information. We incorporated an innovative vector plot to display the average wind speed and direction, providing users with insights into the optimal placement of a wind turbine. With this tool, individuals can explore and evaluate green energy options, making informed decisions tailored to their needs. This contributes to a sustainable future where renewable energy plays a crucial role.
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