A fully backward representation of semilinear PDEs applied to the control of thermostatic loads in power systems
DOI10.1515/mcma-2021-2095zbMath1480.60181arXiv2104.13641OpenAlexW3214233660WikidataQ114052802 ScholiaQ114052802MaRDI QIDQ2066980
Nadia Oudjane, Lucas Izydorczyk, Francesco Russo
Publication date: 17 January 2022
Published in: Monte Carlo Methods and Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2104.13641
stochastic controlHJB equationOrnstein-Uhlenbeck processesdemand-side managementprobabilistic representation of PDEsregression Monte-Carlo schemetime-reversal of diffusion
Monte Carlo methods (65C05) Applications of stochastic analysis (to PDEs, etc.) (60H30) Diffusion processes (60J60) Stochastic partial differential equations (aspects of stochastic analysis) (60H15) Viscosity solutions to Hamilton-Jacobi equations in optimal control and differential games (49L25) Semilinear parabolic equations (35K58)
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Cites Work
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- Optimal stochastic control, stochastic target problems, and backward SDE.
- Adaptive importance sampling in least-squares Monte Carlo algorithms for backward stochastic differential equations
- Stochastic optimal control via forward and backward stochastic differential equations and importance sampling
- Verification theorems for stochastic optimal control problems via a time dependent Fukushima--Dirichlet decomposition
- Weak Dirichlet processes with a stochastic control perspective
- Error expansion for the discretization of backward stochastic differential equations
- Continuous-time stochastic control and optimization with financial applications
- Parabolic equations and Itô's stochastic equations with coefficients discontinuous in the time variable
- Time reversal of diffusions
- On the uniqueness and existence of solutions of fully nonlinear parabolic PDEs under the Osgood type condition
- Probabilistic interpretation of a system of semilinear parabolic partial differential equations
- About classical solutions of the path-dependent heat equation
- A forward scheme for backward SDEs
- Discrete-time approximation and Monte-Carlo simulation of backward stochastic differential equations
- A regression-based Monte Carlo method to solve backward stochastic differential equations
- Linear regression MDP scheme for discrete backward stochastic differential equations under general conditions
- Least-Squares Monte Carlo for Backward SDEs
- Stochastic Optimal Control in Infinite Dimension
- Solving BSDE with Adaptive Control Variate
- Optimal control of diffusion processes and hamilton–jacobi–bellman equations part 2 : viscosity solutions and uniqueness
- On uniqueness and existence of viscosity solutions of fully nonlinear second-order elliptic PDE's
- A Uniqueness Result for Viscosity Solutions of Second Order Fully Nonlinear Partial Differential Equations
- User’s guide to viscosity solutions of second order partial differential equations
- Existence and uniqueness of unbounded viscosity solutions of parabolic equations with discontinuous time-dependence
- A parallel algorithm for solving BSDEs
- Forward or backward simulation? A comparative study
- Importance Sampling for Backward SDEs
- An interpolated stochastic algorithm for quasi-linear PDEs
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