Reducing balancing energy costs through AI-powered forecasts

25.08.2026 PerspectivE
Reliable forecasts of electricity generation and consumption are becoming a crucial tool for energy suppliers. Anyone wishing to reduce balancing energy costs and manage their portfolio efficiently needs accurate forecasts and automatable processes that reliably deliver them. This requires high-quality data and suitable forecasting models.
Guest author
Frank Pleuler
Analyst at endas
Guest author
Marc Maurer
Sr. Application Manager & Data Scientist Energy Trading at ewb
Guest author
Christopher Macheleidt
Senior Sales Consultant at ifesca
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