Communicating Uncertainty in Energy Data: Techniques and Scenarios
Communicating uncertainty in energy data is crucial for making informed decisions, as it highlights the range of possible outcomes rather than presenting a single, potentially misleading value. By using techniques like confidence intervals and prediction bands, alongside visualizations such as error bars and fan charts, we provide a clearer picture of data variability. This approach ensures stakeholders understand the limitations of the data, leading to more resilient and accurate decision-making.