Comprehensive research
and practical guides

This white paper presents a practical framework for designing, evaluating, and deploying probabilistic forecasting models. Download it to explore:

• Why probabilistic forecasts improve decision-making compared to point estimates;
• How to generate and evaluate forecasts using quantile regression, conformal prediction, CRPS, and quantile loss;
• What pitfalls to avoid when moving models from backtest to production.

Many independent power producers are considering a more active role in short-term markets, particularly as long-term power purchase agreements (PPAs) become less attractive. This new white paper is a guide to help them get started. It covers:

• Short-term power markets basics and trends impacting revenue models;
• The step-by-step tech setup for two key trading capabilities: power forecasting and curtailment;
• How to use asset flexibility strategically, and what success looks like.

A nuanced approach to assessing metering-point power generation forecasts, covering everything from a forecast's objective to summary statistics and the relationship with balancing costs, with best practices and numerical examples.