Profils utilisateurs correspondant à "Jeffrey Munk"
 | Jeffrey MunkNational Renewable Energy Laboratory Adresse e-mail validée de nrel.gov Cité 1431 fois |
A hybrid building thermal modeling approach for predicting temperatures in typical, detached, two-story houses
Within the residential building sector, the air-conditioning (AC) load is the main target for
peak load shifting and reduction since it is the largest contributor to peak demand. By …
peak load shifting and reduction since it is the largest contributor to peak demand. By …
Multi-task deep reinforcement learning for intelligent multi-zone residential HVAC control
In this short communication, a data-driven deep reinforcement learning (deep RL) method is
applied to minimize HVAC users’ energy consumption costs while maintaining users’ …
applied to minimize HVAC users’ energy consumption costs while maintaining users’ …
A scalable and distributed algorithm for managing residential demand response programs using alternating direction method of multipliers (ADMM)
For effective engagement of residential demand-side resources and to ensure efficient
operation of distribution networks, we must overcome the challenges of controlling and …
operation of distribution networks, we must overcome the challenges of controlling and …
Evaluating the adaptability of reinforcement learning based HVAC control for residential houses
Intelligent Heating, Ventilation, and Air Conditioning (HVAC) control using deep reinforcement
learning (DRL) has recently gained a lot of attention due to its ability to optimally control …
learning (DRL) has recently gained a lot of attention due to its ability to optimally control …
Alternative Refrigerant Evaluation for High-Ambient Temperature Environments: R-22 and R-410A Alternatives for Mini-Split Air Conditioners
The Oak Ridge National Laboratory (ORNL) High-Ambient Temperature Testing Program
for Low-GWP Refrigerants aims to develop an understanding of the performance of low-Global …
for Low-GWP Refrigerants aims to develop an understanding of the performance of low-Global …
Deep reinforcement learning for autonomous water heater control
Electric water heaters represent 14% of the electricity consumption in residential buildings.
An average household in the United States (US) spends about USD 400–600 (0.45 ¢/L–0.68 …
An average household in the United States (US) spends about USD 400–600 (0.45 ¢/L–0.68 …
Exergy analysis of a two-stage ground source heat pump with a vertical bore for residential space conditioning under simulated occupancy
This twelve-month field study analyzes the performance of a 7.56 W (2.16-ton) water-to-air-ground
source heat pump (WA-GSHP) to satisfy domestic space conditioning loads in a 253 …
source heat pump (WA-GSHP) to satisfy domestic space conditioning loads in a 253 …
Effect of occupant behavior and air-conditioner controls on humidity in typical and high-efficiency homes
Increasing insulation levels and improved windows are reducing sensible cooling loads in
high-efficiency homes. This trend raises concerns that the resulting shift in the balance of …
high-efficiency homes. This trend raises concerns that the resulting shift in the balance of …
Aggregation and data driven identification of building thermal dynamic model and unmeasured disturbance
An aggregate model is a single-zone equivalent of a multi-zone building, and is useful for
many purposes, including model based control of large heating, ventilation and air …
many purposes, including model based control of large heating, ventilation and air …
Virtual storage capability of residential buildings for sustainable smart city via model-based predictive control
This paper evaluates the virtual storage capability of a residential air-conditioning (AC)
system by utilizing the building mass as a thermal storage to enable sustainable cities through …
system by utilizing the building mass as a thermal storage to enable sustainable cities through …