Growing and relatively new concerns about climate change, pollution, and energy costs have prompted new focus on consumption and sustainability. In response to evolving concerns, a number of countries and large cities have focused on the development of smart cities and smart grids that uses technology to support an infrastructure managed by artificial intelligence (AI) and big data analytics. DATAVERSITY brought this interesting information to us in their article, “Big Data Use Cases: Developing a Smarter World.”
Smart cities can offer their citizens a higher quality of life with minimal consumption of energy resources. This is accomplished by way of intelligent interconnections within the infrastructure sharing big data. Technological advances such as low-cost cloud storage and the Internet of Things (IoT), combined with inexpensive sensors, have allowed smart cities to track huge amounts of information ranging from gunshots to air pollution to traffic.
Big data’s role in transforming the energy industry as a whole makes it more flexible and efficient by coordinating wind and solar energy with traditional energy sources. Networks of sensors can be installed to detect changes in weather and wind speeds.
AI allows for communication with smart thermostats to coordinate demand on overextended energy grids and uses power line sensors to identify areas with changing energy needs.
This technological collaboration with smart grids and IoT, help cities move into the future.
Melody K. Smith
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