InteGrid - Demonstration of smart grid, storage and system integration technologies with increasing share of renewables: distribution system

Projekt: Forschung

Projektbeteiligte

  • Bögel, Paula Maria (Wissenschaftliche Projektleitung)
  • Escudero Guirado, Carmen (Wissenschaftliche Projektleitung)
  • Valor, Carmen (Wissenschaftliche Projektleitung)
  • Giersiepen, Annika N. (Projektmitarbeiter*in)
  • Koronen, Carolina (Projektmitarbeiter*in)
  • Mäkivierikko, Aram (Wissenschaftliche Projektleitung)
  • Nilsson, Annika E. (Projektmitarbeiter*in)
  • Shahrokni, Hossein (Projektmitarbeiter*in)

Beschreibung

H2020-project InteGrid, Deliverable 1.4: Consumer’s Engagement Strategies
AkronymInteGrid
StatusAbgeschlossen
Zeitraum01.02.1630.06.18

Dokumente

Zuletzt angesehen

Publikationen

  1. A Gait Pattern Generator for Closed-Loop Position Control of a Soft Walking Robot
  2. A two-stage Kalman estimator for motion control using model predictive strategy
  3. Control of the inverse pendulum based on sliding mode and model predictive control
  4. Anatomy of Haar Wavelet Filter and Its Implementation for Signal Processing
  5. Using sequential injection analysis for fast determination of phosphate in coastal waters
  6. Primary Side Circuit Design of a Multi-coil Inductive System for Powering Wireless Sensors
  7. Mathematical relation between extended connectivity and eigenvector coefficients.
  8. Evolutionary cost-tolerance optimization for complex assembly mechanisms via simulation and surrogate modeling approaches
  9. Dynamically adjusting the k-values of the ATCS rule in a flexible flow shop scenario with reinforcement learning
  10. A Switching Cascade Sliding PID-PID Controllers Combined with a Feedforward and an MPC for an Actuator in Camless Internal Combustion Engines
  11. Toward Application and Implementation of in Silico Tools and Workflows within Benign by Design Approaches
  12. Switching Dispatching Rules with Gaussian Processes
  13. Holistic and scalable ranking of RDF data
  14. Comparison of different FEM codes approach for extrusion process analysis
  15. Modeling of lateness distributions depending on the sequencing method with respect to productivity effects
  16. Multi-view discriminative sequential learning
  17. Segment Introduction
  18. Estimation and interpretation of a Heckman selection model with endogenous covariates