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Jan Kleissl
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2020 – today
- 2024
- [j5]Graham McClone
, Avik Ghosh
Hybrid Machine Learning Forecasting for Online MPC of Work Place Electric Vehicle Charging. IEEE Trans. Smart Grid 15(2): 1891-1901 (2024) - [c13]Sayed Abdullah Sadat, Benjamin Hwang, Kohei Murakami, Jan Kleissl, Jorge Cortés, Adil Khurram:
Integrated Realtime Simulation of Voltage Regulation Algorithms in a microgrid with DERs: Leveraging the DERConnect testbed. ANNSIM 2024: 1-13 - [i12]Ryan Greenough, Kohei Murakami, Michael Davidson, Jan Kleissl, Adil Khurram:
Wildfire Resilient Unit Commitment under Uncertain Demand. CoRR abs/2403.09903 (2024) - [i11]Avik Ghosh, Cristian Cortes-Aguirre, Yi-An Chen, Adil Khurram, Jan Kleissl:
Adaptive Relaxation based Non-Conservative Chance Constrained Stochastic MPC for Battery Scheduling Under Forecast Uncertainties. CoRR abs/2406.01973 (2024) - 2023
- [c12]Kari Lappalainen
Effects of Capacity Factor on Sizing of Energy Storage Systems for Electric Vehicle Charging Plazas. ISGT Asia 2023: 1-5 - 2022
- [c11]Sayan Shaw, Keaton Chia, Jan Kleissl:
Neighbor-Based Optimized Logistic Regression Machine Learning Model For Electric Vehicle Occupancy Detection. AIIoT 2022: 106-110 - [c10]Jan Kleissl, Adil Khurram, Keaton Chia, Scott Brown, Aditya Mishra, Jorge Cortés, Raymond A. de Callafon, Rajesh Gupta, Sonia Martínez, David Victor:
DERConnect: a distributed energy resources testbed for solar power integration. e-Energy 2022: 587-589 - [i10]Sayan Shaw, Keaton Chia, Jan Kleissl:
Neighbor-Based Optimized Logistic Regression Machine Learning Model For Electric Vehicle Occupancy Detection. CoRR abs/2204.13702 (2022) - 2021
- [j4]Zachary K. Pecenak
Aggregation of Voltage-Controlled Devices During Distribution Network Reduction. IEEE Trans. Smart Grid 12(1): 33-42 (2021) - [j3]Tor Anderson
Frequency Regulation With Heterogeneous Energy Resources: A Realization Using Distributed Control. IEEE Trans. Smart Grid 12(5): 4126-4136 (2021) - 2020
- [i9]Changfu Li, Vahid R. Disfani, Hamed Valizadeh Haghi, Jan Kleissl:
Coordination of OLTC and Smart Inverters for Optimal Voltage Regulation of Unbalanced Distribution Networks. CoRR abs/2006.14382 (2020) - [i8]Cristian Cortés, Hamed Valizadeh Haghi, Changfu Li, Jan Kleissl:
Dynamic Weight-Based Collaborative Optimization for Power Grid Voltage Regulation. CoRR abs/2007.01960 (2020) - [i7]Tor Anderson, Manasa Muralidharan, Priyank Srivastava, Hamed Valizadeh Haghi, Jorge Cortés, Jan Kleissl, Sonia Martínez, Byron Washom:
Frequency Regulation with Heterogeneous Energy Resources: A Realization using Distributed Control. CoRR abs/2007.07971 (2020)
2010 – 2019
- 2019
- [i6]Changfu Li, Vahid R. Disfani, Hamed Valizadeh Haghi, Jan Kleissl:
Optimal Voltage Regulation of Unbalanced Distribution Networks with Coordination of OLTC and PV Generation. CoRR abs/1901.09509 (2019) - 2018
- [i5]Changfu Li, Vahid R. Disfani, Zachary K. Pecenak, Saeed Mohajeryami, Jan Kleissl:
Optimal OLTC Voltage Control Scheme to Enable High Solar Penetrations. CoRR abs/1804.06025 (2018) - 2017
- [c9]Abdulelah H. Habib, Vahid R. Disfani, Jan Kleissl
Optimal energy storage sizing and residential load scheduling to improve reliability in islanded operation of distribution grids. ACC 2017: 3974-3979 - [i4]Zachary K. Pecenak, Jan Kleissl, Vahid Rasouli Disfani:
Smart Inverter Impacts on California Distribution Feeders with Increasing PV Penetration: A Case Study. CoRR abs/1702.00527 (2017) - 2016
- [c8]Abdulelah H. Habib, Vahid R. Disfani, Jan Kleissl, Raymond A. de Callafon:
Quasi-dynamic load and battery sizing and scheduling for stand-alone solar system using mixed-integer linear programming. CCA 2016: 1476-1481 - [c7]Raymond A. de Callafon, Abdulelah H. Habib, Jan Kleissl:
Scheduling of dynamic electric loads using energy storage and short term power forecasting. CCA 2016: 1531-1536 - [c6]Abdulelah H. Habib, Jan Kleissl, Raymond A. de Callafon:
Model predictive load scheduling using solar power forecasting. ACC 2016: 3200-3205 - [c5]Abdulelah H. Habib, Elizabeth L. Ratnam
Optimization-based residential load scheduling to improve reliability in the distribution grid. CDC 2016: 2419-2424 - [c4]Abdulelah H. Habib, Zachary K. Pecenak, Vahid R. Disfani, Jan Kleissl, Raymond A. de Callafon:
Reliability of dynamic load scheduling with solar forecast scenarios. SysCon 2016: 1-7 - [i3]Islam Safak Bayram, Vahraz Zamani, Ryan Hanna, Jan Kleissl:
On the Evaluation of Plug-in Electric Vehicle Data of a Campus Charging Network. CoRR abs/1602.02943 (2016) - 2015
- [i2]Abdulelah H. Habib, Zachary K. Pecenak, Vahid R. Disfani, Jan Kleissl, Raymond A. de Callafon:
Reliability of Dynamic Load Scheduling with Solar Forecast Scenarios. CoRR abs/1512.09017 (2015) - 2014
- [j2]Yu Ru, Jan Kleissl
Exact sizing of battery capacity for photovoltaic systems. Eur. J. Control 20(1): 24-37 (2014) - [j1]Marcos Carrasco-Benavides
Parameterization of the Satellite-Based Model (METRIC) for the Estimation of Instantaneous Surface Energy Balance Components over a Drip-Irrigated Vineyard. Remote. Sens. 6(11): 11342-11371 (2014) - [c3]Bengu Ozge Akyurek, Alper Sinan Akyurek, Jan Kleissl, Tajana Simunic Rosing:
TESLA: Taylor expanded solar analog forecasting. SmartGridComm 2014: 127-132 - 2012
- [c2]Yu Ru, Jan Kleissl, Sonia Martínez:
Battery sizing for grid connected PV systems with fixed minimum charging/discharging time. ACC 2012: 270-275 - 2011
- [i1]Yu Ru, Jan Kleissl, Sonia Martínez:
Storage Size Determination for Grid-Connected Photovoltaic Systems. CoRR abs/1109.4102 (2011) - 2010
- [c1]Jan Kleissl, Yuvraj Agarwal:
Cyber-physical energy systems: focus on smart buildings. DAC 2010: 749-754
Coauthor Index
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