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Mitigating the end-of-horizon effect in seasonal storage operation with forecast-updated cost-to-go functions
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DOI：10.1016/j.ecmx.2026.102138.png)
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Abstract
En 中文
• Cost-to-go quantifies value of stored energy beyond the lookahead horizon. • Cost-to-go considers annual horizon with data-driven uncertainty model. • Cost-to-go is regularly updated with short-term stochastic forecasts. • Improves OPEX with model predictive control by up to 12%.
Keywords:
Integrated energy systems
Seasonal storage
Model predictive control
Stochastic dynamic programming
Cost-to-go
End-of-horizon effect
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