Big Data & Geospatial
Major energy investment decisions, such as locating transmission and distribution infrastructure, could be better informed by cloud computing, remote sensors, and satellite imagery which are underexploited in the energy sector.
Energy sector decision-making is often done in a data-poor environment and can be overly-biased toward a particular technology or solution. Modern data-collection and information technology can arm policymakers to make more informed decisions and to more quickly and efficiently deliver flexible, responsive energy systems.
There are important differences among tools and models, as well as their relevance for emerging markets. Using the best available data and research, the Hub aims to help decision makers understand the various technological options as an input to infrastructure choices that will have decades-long effects.
- MemoEmpowered Planning with Models, Satellites, & Machine LearningGeographic Information System (GIS) technologies have the capability to revolutionize large-scale electrification planning. Advances in computer-based electrification planning models, satellite imaging, and machine learning are able to optimize infrastructure planning, lowering the costs of electricity provision and expediting progress.Learn More
- MemoWhy Energy Demand Demands More AttentionIf you were planning to open a coffee shop in your neighborhood, you would want to know how many cups your potential customers might consume each day.Learn More