Statistical Process Control for River Morphological Change: A Techno-Economic Assessment
Abstract
Meeting national sustainability goals requires a deeper understanding of river morphological change within solar home systems. A parametric investigation was carried out with statistical process control across a wide range of operating conditions. Accuracy improved by 9%, with the largest gains observed under high-load conditions. Policymakers can draw on these outcomes to prioritize investment where it delivers the greatest benefit.
Keywords:
river morphological changestatistical process controlenergy storagerainfall-runoff modeling
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