Tootfinder

Electricity Price-Aware Scheduling of Data Center Cooling
Arash Khojaste, Jonathan Pearce, Golbon Zakeri, Yuanrui Sang
https://arxiv.org/abs/2508.03160 https://

Electricity Price-Aware Scheduling of Data Center Cooling
Data centers are becoming a major consumer of electricity on the grid, with cooling accounting for about 40\% of that energy. As electricity prices vary throughout the day and year, there is a need for cooling strategies that adapt to these fluctuations to reduce data center cooling costs. In this paper, we present a model for electricity price-aware cooling scheduling using a Markov Decision Process(MDP) framework to reliably estimate the cooling system operational costs and facilitate investm…

Coherent motions to predict Lagrangian trajectories
Ali R Khojasteh, Dominique Heitz
https://arxiv.org/abs/2508.21191 https://arxiv.org/pdf/2508.21191

Coherent motions to predict Lagrangian trajectories
Accurate prediction of Lagrangian trajectories in turbulent flow remains challenging due to limited temporal information in transport functions. This paper shows that even with sparse temporal observations, there might be enough information from surrounding coherent motions, sharing the same dynamics, to provide highly probable trajectories. The proposed coherent predictor is derived from the concept of Lagrangian coherent structures (LCSs), which are advective transport barriers that govern th…

A parameterized block-splitting preconditioner for indefinite least squares problem
Davod Khojasteh Salkuyeh
https://arxiv.org/abs/2507.16938 https://arxiv…

A parameterized block-splitting preconditioner for indefinite least squares problem
We present a stationary iteration based upon a block splitting for a class of indefinite least squares problem. Convergence of the proposed method is investigated and optimal value of the involving parameter is used. The induced preconditioner is applied to accelerate the convergence of the GMRES method for solving the problem. We also analysed the eigenpair distribution of the preconditioned matrix. Some numerical are presented to show the effectiveness of the preconditioner. Numerical compari…

First observation of the Josephson-Anderson relation in experiments on hydrodynamic drag
Nicola Savelli, Ali R Khojasteh, Abel-John Buchner, Jerry Westerweel, Willem van de Water
https://arxiv.org/abs/2508.19824

First observation of the Josephson-Anderson relation in experiments on hydrodynamic drag
We verify a recent prediction (Eq. 3.50 in G. L. Eyink, Phys. Rev. X 11, 031054 (2021)) for the drag on an object moving through a fluid. In this prediction the velocity field is decomposed into a nonvortical (potential) and vortical contribution, and so is the associated drag force. In the Josephson-Anderson relation the vortical contribution of the drag force follows from the flux of vorticity traversing the streamlines of the corresponding potential flow. The potential component is directly …

Baseline hydropower generation offer curves
Jonathan Pearce, Arash Khojaste, Golbon Zakeri, Geoffrey Pritchard
https://arxiv.org/abs/2508.04854 https://arx…

Baseline hydropower generation offer curves
We outline a mathematical model for pricing hydropower generation. The model involves a Markov decision process that reflects the seasonal variation in historical time series of water inflows. The procedure is computationally efficient and easy to interpret.