Results 31 to 40 of about 31,999 (310)
IET Renewable Power Generation, 2021 This paper presents a decision‐driven stochastic adaptive‐robust microgrid operation optimization model considering the uncertainties of wind and solar generations, electricity price, and demand as well as the availability uncertainties of microgrid's ...
Mohammad Reza Ebrahimi, Nima Amjady
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Frontiers in Microbiology, 2023 Soil microbial diversity is important for maintaining ecosystem functions. However, the linkage between microbial diversity, especially rare and abundant bacterial diversity, and carbon decomposition remains largely unknown.
Hui Cao +7 more
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A GRAPHICAL DECOMPOSITION OF THE STOCHASTIC NETWORK
Journal of the Operations Research Society of Japan, 1979 The pivotal decomposition theorem of the reliability function is applied to the stochastic nNwork. A graphical observation of the theorem always yields more effective result than that of algebraic aspects, that is, the well· selected pivot arc enables the resulting network to contain modules.
Yanagawa, Noboru, Nishida, Toshio
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Novel identification algorithms for Hammerstein systems in ill-conditioned situations
Systems Science & Control Engineering, 2021 Two algorithms named Recursive Least Square algorithm for Ill-Conditioned situations (RLS-IC) and Multi Innovation Stochastic Gradient algorithm for Ill-Conditioned situations (MISG-IC) are proposed based on multi-innovation identification theory, least ...
A. Nejati, B. Safarinejadian
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Uncertainty modeling with the open source framework urbs
Energy Strategy Reviews, 2020 The transition of the energy system to a renewable energy source based system requires methods on how to incorporate uncertainty in modeling the energy system. There are different approaches starting from mainly variation based approaches up to including
Magdalena Stüber, Leonhard Odersky
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Sequential decomposition of Stochastic Stackelberg games
2022 American Control Conference (ACC), 2022 In this paper, we consider a discrete-time stochastic Stackelberg game with a single leader and multiple followers. Both the followers and the leader together have conditionally independent private types, conditioned on action and previous state, that evolve as controlled Markov processes.
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IEEE Access, 2019 The modes' reconstruction into the stochastic and deterministic components is proposed for forecasting the crude oil prices with the concept of “divide and conquer” and modes reconstruction. It is to reduce the complexity in the computation
Wei Gao +4 more
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Stochastic Signatures of Phase Space Decomposition [PDF]
ISRN Computational Mathematics, 2012 We explore the consequences of metrically decomposing a finite phase space, modeled as a d-dimensional lattice, into disjoint subspaces (lattices). Ergodic flows of a test particle undergoing an unbiased random walk are characterized by implementing the theory of finite Markov processes.
Kozak, John J., Garza-López, Roberto A.
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, 2006 Stochastic dynamic programming models are attractive for multireservoir control problems because they allow non-linear features to be incorporated and changes in hydrological conditions to be modeled as Markov processes.
Archibald, Thomas W.; id_orcid +5 more
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Stochastic Parameter Decomposition
CoRRA key step in reverse engineering neural networks is to decompose them into simpler parts that can be studied in relative isolation. Linear parameter decomposition -- a framework that has been proposed to resolve several issues with current decomposition methods -- decomposes neural network parameters into a sum of sparsely used vectors in parameter ...
Lucius Bushnaq, Dan Braun, Lee Sharkey
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