Search Results - stochastic variable computation module

Stochastic-based scheduling of the microgrid operation including wind turbines, photovoltaic cells, energy storages and responsive loads by Talari, Saber, Yazdaninejad, Mohsen, Haghifam, Mahmoud-Reza

“… In these strategies, in order to reach the optimum scheduling, the stochastic nature of some decision variables should be considered…”
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Two stage residential energy management under distribution locational marginal pricing by Mohsenzadeh, Amin, Pang, Chengzong

“…•This paper presented a two-stage stochastic optimization method to schedule household appliances and small-scale energy resources…”
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Pseudo-Random Number Generators for Stochastic Computing (SC): Design and Analysis by Junsangsri, Pilin, Lombardi, Fabrizio

“…In most nanoscale stochastic computing designs, the Stochastic Number Generator (SNG) circuit is complex and occupies a significant area because each copy of a stochastic variable requires its own dedicated…”
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Modelling the heat dynamics of a monitored Test Reference Environment for Building Integrated Photovoltaic systems using stochastic differential equations by Lodi, C., Bacher, P., Cipriano, J., Madsen, H.

“… ► Several forced regimes and different PV module inclinations are analysed. ► The convective heat transfer coefficients and the PV module heat capacity are estimated…”
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Accelerating stochastic computation for binary classification applications by Huang, Lezhong, Chen, Guanhui, Li, Peng, Qian, Weikang

“… In this work, we target at stochastic computation used in binary classification applications, such as image segmentation and pattern classification, and propose a novel accelerating module…”
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Grade Filtration of Linear Functional Systems by Quadrat, Alban

“…The grade (purity) filtration of a finitely generated left module M over an Auslander regular ring D is a built-in classification of the elements of M in terms of their grades (or their (co…”
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A Microforecasting Module for Energy Management in Residential and Tertiary Buildings by Bruno, Sergio, Dellino, Gabriella, La Scala, Massimo, Meloni, Carlo

“…The paper describes the methodology used for developing an electric load microforecasting module to be integrated in the Energy Management System (EMS…”
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Reliability of lead-free solder in power module with stochastic uncertainty by Micol, A., Martin, C., Dalverny, O., Mermet-Guyennet, M., Karama, M.

“…The weak point for Insulated-Gate Bipolar Transistor (IGBT) modules in terms of reliability is thermal fatigue in solder joints due to the thermal stress…”
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High-Dimensional ODEs Coupled With Mixed-Effects Modeling Techniques for Dynamic Gene Regulatory Network Identification by Lu, Tao, Liang, Hua, Li, Hongzhe, Wu, Hulin

“…). The ODE models allow us to quantify both positive and negative gene regulation as well as feedback effects of genes in a functional module on the dynamic expression changes of genes in another…”
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A stochastic spectral analysis of transcriptional regulatory cascades by Walczak, Aleksandra M, Mugler, Andrew, Wiggins, Chris H

“… Here, we introduce the spectral method for computation of the joint probability distribution over all species in a biological network…”
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Adaptive and efficient high-order rating distance optimization model with slack variable by He, Yifan, Zou, Haitao, Yu, Hualong, Zheng, Shang, Gao, Shang

“…, the second-order rating distance), and use stochastic gradient descent to solve this convex optimization problem in recommender systems, has good performance in prediction accuracy…”
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Topology identification of sparse network: A stochastic variational Bayesian approach by Liu, Qie, Huang, Biao, Chai, Yi, Li, Wenbo

“… of the global variables at each iteration of the classical variational inference, the computation complexity…”
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Execution time estimation for workflow scheduling by Chirkin, Artem M., Belloum, A. S. Z., Kovalchuk, Sergey V., Makkes, Marc X.

“… The proposed estimation algorithm can be integrated easily into a wide class of schedulers as a separate module…”
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On semi-analytical probabilistic finite element method for homogenization of the periodic fiber-reinforced composites by KAMINSKI, Marcin

“… with the effective modules method. It originates from the generalized stochastic perturbation‐based FEM, where Taylor expansion with random parameters is not necessary now and is simply replaced with the integration of the response functions…”
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Fast Collision Prediction for Autonomous Vehicles using a Stochastic Dynamics Model by Candela, Eduardo, Feng, Yuxiang, Mead, Daniel, Demiris, Yiannis, Angeloudis, Panagiotis

“… It can incorporate road layout information, statistical agent dynamics, and be coupled with any trajectory prediction module…”
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Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures by Chiang, Mung, Low, Steven H., Calderbank, A. Robert, Doyle, John C.

“… network utility maximization problem, each layer corresponds to a decomposed subproblem, and the interfaces among layers are quantified as functions of the optimization variables coordinating the subproblems…”
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Design optimization of dual-circulation wells using deep learning by Sikai, Yang, Zhang, Fang, Yanling, Ma, Hao, Ke, Rui, Zhou, Sadam, Muhammad

“… Groundwater simulation modules based on the Python package were used to construct models for groundwater flow, particle tracking, and solute transport…”
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2D versus 3D probabilistic homogenization of the metallic fiber-reinforced composites by the perturbation-based stochastic Finite Element Method by Kamiński, Marcin, Kazimierczak, Marlena

“… Probabilistic approach is based on the generalized stochastic perturbation technique allowing for large random dispersions of the input random variables and is implemented using the polynomial…”
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Kalman filter based production control of a failure-prone single-machine single-product manufacturing system with imprecise demand and inventory information by Polotski, V., Kenne, J.-P., Gharbi, A.

“…•Kalman filter is used to obtain inventory and demand rate estimates.•Prediction module provides demand forecast to be used in cost function computation…”
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Stochastic simulation for crashworthiness by Bulik, M., Liefvendahl, M., Stocki, R., Wauquiez, C.

“… It supports facilities for interactive choice of variables and responses, definition of a sampling on a design space, automatic submission of the computations, and post-processing of the results…”
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