Energy generation is evolving. With that evolution, it is necessary to track new performance data. Any energy production requires you to evaluate two key KPIs: Plant Availability (PA) which is the total operating time over downtime, and Performance Ratio (PR) which is the comparison of actual production to theoretical production for a reference period.
These two KPIs empower you to look at predicted outcomes. When you add in other variables, like weather conditions, you can look at the unexpected downtime of a plant during weather events. Was your plant down during a high temperature event? Did predicted high winds cause an outage? Could a storm event have kept the plant offline? Oracle Analytics provides the tools necessary to show any correlations between your metrics and these external factors.
Sports analysts also study external factors. In many instances, this takes the form of opposition research. Analysts make outcome predictions based on previous performance against opponents. These predicted outcomes enable coaches to enhance strategy and adjust their tactical decisions.
By using a TopN canvas filter you can see how performance changes across each visualization on the dashboard. You can use this to quickly see the factors that contribute to increased performance. Perhaps there is a region with higher plant availability or an opponent against whom your team is undefeated. Evaluating these factors can help to make critical decisions about your operational strategies.