Wednesday, 26 January 2011
In the energy industry, users require flexible tools to examine energy forecast performance. Even within the subset of weather-driven renewable energy forecast users, horizon times of interest and acceptable error characteristics may vary greatly depending on forecast use case. Forecast performance visualization tools should suit the needs of the forecast users, allowing both the forecast provider and user to examine error characteristics in ways reflective of forecast use and continual improvement. By examining forecast performance through some of the visualization tools shown on this poster, the user can add value to the forecast; the forecast provider can also use these tools to closely monitor forecast performance and implement changes to improve the quality of the forecast. Wind energy industry use case scenarios for evaluating energy forecast performance are presented in the context of clearly visualizing meaningful error characteristics and benchmark metrics.
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