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Towards Input-Convex Neural Network Modeling for Battery Optimization in Power Systems

US & West · yesterday

arXiv:2410.09166v2 Announce Type: replace Abstract: Battery energy storage systems (BESS) play an increasingly vital role in integrating renewable generation into power grids due to their ability to dynamically balance supply.

Original headline: Towards Input-Convex Neural Network Modeling for Battery Optimization in Power Systems

Read the original: arXiv — Systems and Control (eess.SY)

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Towards Input-Convex Neural Network Modeling for Battery Optimization in Power Systems

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Exploring Causal Mechanisms with Generative Agent-Based Models

Enhanced Sampled-Data Model Predictive Control via Nonlinear Lifting

Beyond Ellipsoids: Semi-Algebraic Tightening for Chance Constraints Under Actuator Saturation