Name: Grid Integration of Distributed Energy Resources: Aggregate Flexibility Quantification and Market Participation
Start: 2024-03-22T15:30:00-04:00
End: 2024-03-22T16:30:00-04:00
Location: 1500 EECS Building

No events scheduled for March 17, 2024.

8:00 am

March 18 @ 8:00 am - 5:00 pm

MIDAS Symposium | The AI in Science and Engineering annual symposium

Rackham Auditorium 915 E. Washington Street, Ann Arbor

10:00 am

March 18 @ 10:00 am - 11:00 am

Generative AI for 3D Content

3316 EECS Building 1301 Beal Avenue, Ann Arbor

2:00 pm

March 18 @ 2:00 pm - 3:00 pm

From Pixels to Measurements: Understanding the Dynamic World

3725 Beyster Building 2260 Hayward Street, Ann Arbor

4:00 pm

March 18 @ 4:00 pm - 6:00 pm

Distinguished University Professorship Lectures: with Kamal Sarabandi

Robertson Auditorium: Ross School of Business 701 Tappan St., Ann Arbor

8:00 am

March 19 @ 8:00 am - 5:00 pm

MIDAS Symposium | The AI in Science and Engineering annual symposium

Rackham Auditorium 915 E. Washington Street, Ann Arbor

10:00 am

March 19 @ 10:30 am - 11:30 am

A Guessing Random Additive Noise Decoding (GRAND) Introduction

Johnson Rooms, Lurie Engineering Center (3rd floor) 1221 Beal Avenue, Ann Arbor

March 19 @ 10:30 am - 11:30 am

The Synergistic Collaboration of Heterogeneity in Sensing and Communication for Ubiquitous Intelligence

3725 Beyster Building 2260 Hayward Street, Ann Arbor

1:00 pm

March 20 @ 1:30 pm - 2:30 pm

Fall 2024 CE Backpacking and Registration Info Session

1005 Dow Building 2300 Hayward Street, Ann Arbor

2:00 pm

March 20 @ 2:00 pm - 3:00 pm

Towards Principled Modeling of Inductive Bias for Generalizable Machine Learning

3725 Beyster Building 2260 Hayward Street, Ann Arbor

3:00 pm

March 20 @ 3:30 pm - 4:30 pm

Quantifying Dynamics of Plasmas Out of Local Thermodynamic Equilibrium

1005 EECS Building 1301 Beal Ave, Ann Arbor

10:00 am

March 21 @ 10:00 am - 11:00 am

From Systemic to Regional: Personal Health and Medical Monitoring Systems that Adapt to Individual Variance

3316 EECS Building 1301 Beal Avenue, Ann Arbor

11:00 am

March 21 @ 11:00 am - 12:00 pm

Quantum Research Institute Seminar | Demonstration of algorithmic quantum speedup

Boulevard Room at Pierpont Commons 2101 Bonisteel Blvd., Ann Arbor

3:00 pm

March 21 @ 3:30 pm - 4:30 pm

Distributed learning on correlated data with communication constraints

1200 EECS Building 1301 Beal Avenue, Ann Arbor

9:00 am

March 22 @ 9:00 am - 12:00 pm

Disability Visibility Symposium Part I

Johnson Rooms, Lurie Engineering Center (3rd floor) 1221 Beal Avenue, Ann Arbor

2:00 pm

March 22 @ 2:00 pm - 3:00 pm

Predicting Patient Outcomes After Car Crashes: A Machine Learning Perspective

Remote/Virtual

3:00 pm

March 22 @ 3:30 pm - 4:30 pm

Grid Integration of Distributed Energy Resources: Aggregate Flexibility Quantification and Market Participation

1500 EECS Building 1301 Beal Avenue, Ann Arbor

Week of Events

Sun 17

Mon 18

Tue 19

Wed 20

Thu 21

Fri 22

Sat 23

MIDAS Symposium | The AI in Science and Engineering annual symposium

Generative AI for 3D Content

From Pixels to Measurements: Understanding the Dynamic World

Distinguished University Professorship Lectures: with Kamal Sarabandi

MIDAS Symposium | The AI in Science and Engineering annual symposium

A Guessing Random Additive Noise Decoding (GRAND) Introduction

The Synergistic Collaboration of Heterogeneity in Sensing and Communication for Ubiquitous Intelligence

Fall 2024 CE Backpacking and Registration Info Session

Towards Principled Modeling of Inductive Bias for Generalizable Machine Learning

Quantifying Dynamics of Plasmas Out of Local Thermodynamic Equilibrium

From Systemic to Regional: Personal Health and Medical Monitoring Systems that Adapt to Individual Variance

Quantum Research Institute Seminar | Demonstration of algorithmic quantum speedup

Distributed learning on correlated data with communication constraints

Disability Visibility Symposium Part I

Predicting Patient Outcomes After Car Crashes: A Machine Learning Perspective

Grid Integration of Distributed Energy Resources: Aggregate Flexibility Quantification and Market Participation