Wind Power Forecasting
Achieving highly accurate power generation predictions under variable wind conditions
Power generated by wind turbines is highly dependent on weather conditions affecting wind speed and direction. Due to the unpredictable nature of wind energy, most grid operators have to supplement wind energy with power from other sources such as coal, hydro, or solar. In many countries, federal laws mandate that wind power operators predict their output to ensure consistent power at all times across the electrical grid. Analyzing sensor data collected from wind turbines in real time such as nacelle wind speed, wind deviation, nacelle position, and blade pitch provide the necessary data to train a regression model that can predict power output with a high degree of accuracy.
Most wind farms are located in remote areas where there may be network bandwidth and reliability issues. An edge intelligence solution can provide the advantage of being able to analyze data locally in real-time without relying on continuous network availability. It can manage all applications autonomously at the edge of the network as well as communicate with a central location when network communication is available.