Jeffrey Munk
Jeffrey Munk
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Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning
F Li, Y Du
Deep Learning for Power System Applications: Case Studies Linking Artificial …, 2023
A hybrid building thermal modeling approach for predicting temperatures in typical, detached, two-story houses
B Cui, C Fan, J Munk, N Mao, F Xiao, J Dong, T Kuruganti
Applied energy 236, 101-116, 2019
A scalable and distributed algorithm for managing residential demand response programs using alternating direction method of multipliers (ADMM)
X Kou, F Li, J Dong, M Starke, J Munk, Y Xue, M Olama, H Zandi
IEEE Transactions on Smart Grid 11 (6), 4871-4882, 2020
Multi-task deep reinforcement learning for intelligent multi-zone residential HVAC control
Y Du, F Li, J Munk, K Kurte, O Kotevska, K Amasyali, H Zandi
Electric Power Systems Research 192, 106959, 2021
Alternative refrigerant evaluation for high-ambient-temperature environments: R-22 and R-410A alternatives for mini-split air conditioners
O Abdelaziz, S Shrestha, J Munk, R Linkous, W Goetzler, M Guernsey, ...
ORNL/TM-2015-536. Oak Ridge, TN: Oak Ridge National Laboratory. https …, 2015
Exergy analysis of a two-stage ground source heat pump with a vertical bore for residential space conditioning under simulated occupancy
MR Ally, JD Munk, VD Baxter, AC Gehl
Applied Energy 155, 502-514, 2015
Effect of occupant behavior and air-conditioner controls on humidity in typical and high-efficiency homes
J Winkler, J Munk, J Woods
Energy and Buildings 165, 364-378, 2018
Evaluating the adaptability of reinforcement learning based HVAC control for residential houses
K Kurte, J Munk, O Kotevska, K Amasyali, R Smith, E McKee, Y Du, B Cui, ...
Sustainability 12 (18), 7727, 2020
Aggregation and data driven identification of building thermal dynamic model and unmeasured disturbance
Z Guo, AR Coffman, J Munk, P Im, T Kuruganti, P Barooah
Energy and Buildings 231, 110500, 2021
Cooling season full and part load performance evaluation of variable refrigerant flow (VRF) system using an occupancy simulated research building
P Im, M Mini, JD Munk, J Lee
Exergy and energy analysis of a ground-source heat pump for domestic water heating under simulated occupancy conditions
MR Ally, JD Munk, VD Baxter, AC Gehl
International journal of refrigeration 36 (5), 1417-1430, 2013
Exergy analysis and operational efficiency of a horizontal ground-source heat pump system operated in a low-energy test house under simulated occupancy conditions
MR Ally, JD Munk, VD Baxter, AC Gehl
International Journal of Refrigeration 35 (4), 1092-1103, 2012
Building thermal model development of typical house in US for virtual storage control of aggregated building loads based on limited available information
B Cui, J Munk, R Jackson, D Fugate, M Starke
Proceedings of ECOS, 2017
Deep reinforcement learning for autonomous water heater control
K Amasyali, J Munk, K Kurte, T Kuruganti, H Zandi
Buildings 11 (11), 548, 2021
Virtual storage capability of residential buildings for sustainable smart city via model-based predictive control
J Joe, J Dong, J Munk, T Kuruganti, B Cui
Sustainable Cities and Society 64, 102491, 2021
Agent-based system for transactive control of smart residential neighborhoods
M Starke, J Munk, H Zandi, T Kuruganti, H Buckberry, J Hall, J Leverette
2019 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2019
Real-time MPC for residential building water heater systems to support the electric grid
M Starke, J Munk, H Zandi, T Kuruganti, H Buckberry, J Hall, J Leverette
2020 IEEE Power & Energy Society Innovative Smart Grid Technologies …, 2020
Demonstration of intelligent HVAC load management with deep reinforcement learning: real-world experience of machine learning in demand control
Y Du, F Li, K Kurte, J Munk, H Zandi
IEEE Power and Energy Magazine 20 (3), 42-53, 2022
Rl-hems: Reinforcement learning based home energy management system for hvac energy optimization
O Kotevska, K Kurte, J Munk, T Johnston, E Mckee, K Perumalla, H Zandi
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2020
Load flexibility analysis of residential hvac and water heating and commercial refrigeration
B Cui, J Joe, J Munk, J Sun, T Kuruganti
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2019
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