How Location Intelligence can Accelerate Renewable Energy Implementation

Renewable energy (RE) is becoming an increasingly popular topic due to the pressing need for energy security, the rising concern about the negative impacts of traditional energy sources, and the increasing demand for power due to economic development. As we transition towards a more sustainable society, RE will become a key player in addressing these challenges and providing a long-term solution that can help mitigate climate change. So, how can data science help scale RE development? Geospatial data can be utilized to identify optimal locations for developing utility-scale RE plants. By using this data to assess potential sites during the pre-feasibility stage of projects, we can identify and mitigate risks early on, potentially reducing the time and costs associated with project development. We conducted a proof-of-concept study that aims to find the most suitable locations for solar power plants in the Philippines. We experimented with various criteria that are typically considered

Renewable energy (RE) is becoming an increasingly popular topic due to the pressing need for energy security, the rising concern about the negative impacts of traditional energy sources, and the increasing demand for power due to economic development. As we transition towards a more sustainable society, RE will become a key player in addressing these challenges and providing a long-term solution that can help mitigate climate change. So, how can data science help scale RE development? Geospatial data can be utilized to identify optimal locations for developing utility-scale RE plants. By using