arXiv subjects

Thiha Aung

Publications and source records attributed to Thiha Aung.

4 recordsLinked to original sources

arXiv2026

Battery Storage Co-Optimization in Day-Ahead and Real-Time Markets with Bayesian Optimization

We propose Adaptive Refinement Bayesian Optimization for Day-Ahead and Real-Time (ARBO-DART) markets, an algorithm for BESS intraday dispatch co-optimization in which day-ahead (DA) commitment profiles are optimized against value of real-time (RT) recourse computed by a black-box stochastic control solver. In our framework, the DA price curve is taken as exogenous and RT prices evolve as a mean-reverting process around it. The RT recourse layer performs dynamic closed-loop control while accounting for the piecewise-linear state-of-charge dynamics and the DA-driven feasible control set. By wrapping Bayesian Optimization (BO) around the RT solver, ARBO-DART jointly optimizes DA commitments and dynamic RT flexibility without requiring analytic gradients, closed-form value functions, or finite-scenario approximations. To overcome the curse of dimensionality in fixed-resolution DA profiles, ARBO-DART starts from a coarse partition of DA commitments and progressively refines charge and discharge blocks where additional temporal resolution is most needed, as judged by the corresponding RT policy. Numerical experiments across realistic DA price curves reveal the effectiveness of ARBO-DART in recovering economically meaningful DA bidding structures while being several times faster relative to fixed-resolution

q-fin.CP↗

arXiv2025

The CAM Model: An in vivo Testbed for Molecular Communication Systems

Molecular communication (MC) research increasingly focuses on biomedical applications like health monitoring and drug delivery, demanding testing in realistic living environments. Elevating MC research requires developing advanced in vivo testbeds. We introduce the chorioallantoic membrane (CAM) model as the first versatile 3D in vivo MC platform. The CAM, a highly vascularized membrane in fertilized chicken eggs, is established in bioengineering, cancer research, and drug development. Its biological realism, reproducibility, and versatility make it ideal for next-generation MC testbeds, bridging proof-of-concept systems and practical applications. We comprehensively characterize the CAM model's properties and MC system relevance. Through experimental studies, we investigate fluorescent molecule distribution in the CAM's closed-loop vascular system. We derive an analytical model using the wrapped normal distribution to describe particle propagation in dispersive closed-loop systems dominated by diffusion and flow. Parametric models are developed to approximate particle dynamics in the CAM, with parameters estimated via nonlinear least squares curve fitting. A dataset of 69 regions from 25 eggs validates our models. We analyze parameter relationships and biological plausibility. Finally, we develop a parametric model for long-term particle behavior and liver accumulation in chick embryos.

eess.SY↗

arXiv2025

Intraday Battery Dispatch for Hybrid Renewable Energy Assets

We develop a mathematical model for intraday dispatch of co-located wind-battery energy assets. Focusing on the primary objective of firming grid-side actual production vis-a-vis the preset day-ahead hourly generation targets, we conduct a comprehensive study of the resulting stochastic control problem across different firming formulations and wind generation dynamics. Among others, we provide a closed-form solution in the special case of a quadratic objective and linear dynamics, as well as design a novel adaptation of a Gaussian Process-based Regression Monte Carlo algorithm for our setting. Extensions studied include an asymmetric loss function for peak shaving, capturing the cost of battery cycling, and the role of battery duration. In the applied portion of our work, we calibrate our model to a collection of 140+ wind-battery assets in Texas, benchmarking the economic benefits of firming based on outputs of a realistic unit commitment and economic dispatch solver.

math.OC↗

arXiv2024

The Chorioallantoic Membrane Model: A 3D in vivo Testbed for Design and Analysis of MC Systems

Molecular Communications (MC) research is increasingly focused on applications within the human body, such as health monitoring and drug delivery. These applications require testing in realistic and living environments. Thus, advancing experimental MC research to the next level requires the development of in vivo experimental testbeds. In this paper, we introduce the Chorioallantoic Membrane ( CAM ) model as a versatile 3D in vivo MC testbed. The CAM is a highly vascularized membrane formed in fertilized chicken eggs and has gained significance in various research fields, including bioengineering, cancer research, and drug development. Its versatility, reproducibility, and realistic biological properties make the CAM model perfectly suited for next-generation MC testbeds, facilitating the transition from proof-of-concept systems to practical applications. We provide a comprehensive introduction to the CAM model, its properties, and its applications in practical research. Additionally, we present a characterization of the CAM model as an MC system. As a preliminary experimental study, we investigate the distribution of fluorescent molecules in the closed-loop vascular system of the CAM model. We also derive an approximate analytical model for the propagation of molecules in closed-loop systems, and show that the proposed model is able to approximate molecule propagation in the CAM model.

cs.ET↗