Daniel Arnold

An architecture for integrated commercial building demand response

Michael Sankur, Daniel Arnold, David Auslander, 2013, 2013 IEEE Power & Energy Society General Meeting.

HIL-validation of an Extremum Seeking-based Controller for Advanced DER Management

Duncan S. Callaway, Craig Breaden, Daniel Arnold, 2020, 2020 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).

Model predictive control of flexible demand for voltage support in unbalanced distribution systems

Jhi-Young Joo, Michael Sankur, Emma Stewart, 2017, 2017 IEEE Power & Energy Society General Meeting.

Model-Free Optimal Control of Distributed Energy Resources in Electric Power Distribution Systems

Daniel Arnold, D. Arnold, 2015 .

Distribution Voltage Regulation Using Extremum Seeking Control With Power Hardware-in-the-Loop

Jay Johnson, Javier Hernandez-Alvidrez, Rachid Darbali-Zamora, 2018, IEEE Journal of Photovoltaics.

SoDa: An Irradiance-Based Synthetic Solar Data Generation Tool

Raksha Ramakrishna, Anna Scaglione, Ciaran Roberts, 2020, 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm).

Dynamic programming for optimal load-shedding of office scale battery storage and plug-loads

Michael Sankur, Daniel Arnold, David Auslander, 2015, 2015 IEEE Power & Energy Society General Meeting.

The next generation energy information gateway for use in residential and commercial environments

David M. Auslander, Michael Sankur, Daniel Arnold, 2013, 2013 IEEE Power & Energy Society General Meeting.

Understanding the Safety Requirements for Learning-based Power Systems Operations pdf

Sean Peisert, Yize Chen, Daniel Arnold, 2021, ArXiv.

Log(v) 3LPF: A Linear Power Flow Formulation for Unbalanced Three-Phase Distribution Systems

Anna Scaglione, Ciaran Roberts, Daniel Arnold, 2021, IEEE Transactions on Power Systems.

SAVER: Safe Learning-Based Controller for Real-Time Voltage Regulation pdf

Sean Peisert, Yize Chen, Daniel Arnold, 2021, 2022 IEEE Power & Energy Society General Meeting (PESGM).

Learning from learning machines machinesimproving the predictive power of energy-water-land nexus modelswith insights from complex measured and simulated data

Tianzhen Hong, Dipankar Dwivedi, Sean Peisert, 2021 .