How to Turn Streaming Data into Wind Energy Innovation
Wind power forecasting is essential for sustainable energy production. But forecasts are made to be broken. Once in production, wind turbines adjust their position like a sailboat adjust to gather all the wind it can. Energy innovators are going real-time to seize this opportunity. They employ systems that learn and adapt forecasts to current conditions. Three technologies make it work.
Streaming data for wind energy comes from embedded sensors in turbines, streaming weather data, satellites, and drones. A single turbine alone has thousands of embedded sensors that emit data in real-time. This data is collected at the edge and streamed through IoT cloud platforms from Amazon, Google, and Microsoft.
Streaming analytics applies algorithms in real-time to predict which way the wind will blow. Combined with historical context, streaming analytics help determine autonomic action and alert humans of exceptions that could pose opportunities or threats.
Streaming visual analytics is the most important technology of all. It builds a bridge between automation and the human insight required to manage it.
Combined, these three technologies turn streaming data into wind energy innovation.
