Vladimir Dvorkin: Differentially Private Distributed Optimal Power Flow

preview_player
Показать описание
Speaker: Vladimir Dvorkin (PhD Student at DTU)
November 2020, Copenhagen, Denmark
  1. DTU: Lectures on Power & Energy Systems
  2. Differential privacy
  3. optimal power flow
  4. energy
  5. power systems
Рекомендации по теме
Vladimir Dvorkin: Differentially 0:13:32

Vladimir Dvorkin: Differentially Private Distributed Optimal Power Flow

Vladimir Dvorkin: Differentially 0:10:47

Vladimir Dvorkin: Differentially Private Optimal Power Flow for Distribution Grids

Vladimir Dvorkin: Stochastic 0:46:04

Vladimir Dvorkin: Stochastic and Private Energy System Optimization

Learning Differentially Private 0:15:13

Learning Differentially Private Mechanisms

Ilgiz Murzakhanov: Encoding 0:13:33

Ilgiz Murzakhanov: Encoding Dynamic Security-Constrained AC-OPF to MILP With Neural Networks

Formal privacy guarantees 0:56:32

Formal privacy guarantees for optimization datasets in power systems

CDC2021 — Distributed 0:09:57

CDC2021 — Distributed Learning of Optimal Controls for Linear Systems

OWOS: Dmitriy Drusvyatskiy 1:01:40

OWOS: Dmitriy Drusvyatskiy - 'Stochastic Optimization with Decision-dependent Distributions&apo...

Explicit Distributed and 0:12:55

Explicit Distributed and Localized Model Predictive Control via System Level Synthesis

Second session of 1:38:02

Second session of linear power flow for distribution systems

Functions of system 0:29:32

Functions of system security; Monitoring, contingency analysis, optimal power flow

Andreas Venzke: Machine 0:47:06

Andreas Venzke: Machine Learning and Convex Relaxations for Secure Power System Operation

Privacy-Preserving Obfuscation for 0:19:59

Privacy-Preserving Obfuscation for Distributed Power Systems

Distinguished Lecture Series 0:34:26

Distinguished Lecture Series #86 - Professor Pierluigi Siano

Vassilis Kekatos: Physics-Aware 1:05:25

Vassilis Kekatos: Physics-Aware Deep Learning for Optimal Power Flow 

Mihai Anitescu: 'Scalable 1:05:33

Mihai Anitescu: 'Scalable Stochastic Programming for Energy Systems'

A Scalable Privacy 0:20:44

A Scalable Privacy Preserving Distributed Parallel Optimization by Pierluigi SIANO at IEEE iSPEC2020

A Distributed Parallel 0:49:27

A Distributed Parallel Optimization for Addressing the Scalability and Privacy Issues of EC

Anton Hinneck. Optimal 0:09:43

Anton Hinneck. Optimal Power Flow with Substation Reconfiguration

Thesis defense by 2:55:16

Thesis defense by Samuel JUPIN

Steven Low: Time-Varying 1:04:43

Steven Low: Time-Varying Nonconvex Optimization with Application to OPF

Data-Driven Optimal Voltage 0:20:29

Data-Driven Optimal Voltage Regulation Using Input Convex Neural Networks

BML22 29-Optimal power 0:08:46

BML22 29-Optimal power flow using Machine Learning: A survey

Powertech 2021 Deep 0:04:46

Powertech 2021 Deep learning-based multi-output quantile forecasting of PV generation