AI & Machine Learning

From Forecast Models to Policy Agents: Rethinking AI in Power Markets

Ali Nemati12 hours ago25 sec read4 views0 listens

The article discusses transitioning from traditional forecast-optimize-execute pipelines in power markets to decision-making systems based on policies, which account for uncertainties and interdependencies across time and assets. This shift is crucial as it enables more adaptive and integrated decision-making, addressing limitations of current modular approaches where each stage operates independently without memory or feedback mechanisms.

Read the full article at Towards AI - Medium

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