- Smart Grid Energy Management
- Building Energy and Comfort Optimization
- Microgrid Control and Optimization
- Optimal Power Flow Distribution
- Smart Grid Security and Resilience
- Energy Efficiency and Management
- Energy Load and Power Forecasting
- Refrigeration and Air Conditioning Technologies
- Wireless Communication Networks Research
- Electric Vehicles and Infrastructure
- Electric Power System Optimization
- Advanced Wireless Communication Techniques
- Power Line Communications and Noise
- Advanced Control Systems Optimization
- Data Quality and Management
- Power System Reliability and Maintenance
- Structural Health Monitoring Techniques
- Advanced Adaptive Filtering Techniques
- Electronic Health Records Systems
- Power System Optimization and Stability
- Green IT and Sustainability
- Islanding Detection in Power Systems
- Advanced Sensor and Energy Harvesting Materials
- Anomaly Detection Techniques and Applications
- Probabilistic and Robust Engineering Design
Oak Ridge National Laboratory
2016-2025
Government of the United States of America
2023
National Transportation Research Center
2022-2023
National Technical Information Service
2021-2022
Office of Scientific and Technical Information
2021-2022
Pacific Northwest National Laboratory
2013
University of Tennessee at Knoxville
2009
Energy disaggregation or Non-Intrusive Load Monitoring (NILM) addresses the issue of extracting device-level energy consumption information by monitoring aggregated signal at one single measurement point without installing meters on each individual device. can be formulated as a source separation problem where is expressed linear combination basis vectors in matrix factorization framework. In this paper, an approach based Sum-to-k constrained Non-negative Matrix Factorization (S2K-NMF)...
In this paper, a fuel-based distributed generator (DG) allocation strategy is proposed to enhance the distribution system resilience against extreme weather. The long-term planning problem formulated as two-stage stochastic mixed-integer programming (SMIP). first stage make decisions of DG siting and sizing under given budget constraint. second stage, post-extreme-event-restoration (PEER) employed minimize operating cost in an uncertain fault scenario. particular, study proposes method...
Residential loads, especially heating, ventilation and air conditioners (HVACs) electric vehicles (EVs), have great potentials to provide demand flexibility which is an attribute of grid-interactive efficient buildings (GEB). Under this new paradigm, EV HVAC aggregator models are first developed in paper represent the fleet GEBs, aggregated parameters obtained based on a approach data generation least squares parameter estimation (DG-LSPE), can deal with heterogeneous HVACs. Then, tri-level...
This study aims to develop a concrete occupancy prediction as well an optimal occupancy-based control solution for improving the efficiency of Heating, Ventilation, and Air-Conditioning (HVAC) systems. Accurate is key enabler demand-based HVAC so ensure not run needlessly when room/zone unoccupied. In this paper, we propose simple yet effective algorithms predict alongside algorithm automatically assigning temperature set-points. Utilizing past observations, introduce three different...
Simple and easily integrated design of flexible transparent electrode materials affixed to polymer-based substrates hold great promise have a revolutionary impact on the functionality performance energy storage devices for many future consumer electronics. Among these applications are touch sensors, roll-up displays, photovoltaic cells, health monitors, wireless wearable communication devices. Here, we report an environmentally friendly, simple, versatile approach produce optically...
We report on a 3D printed Al anode for Al-air battery combined with laser sintering method. verified that contributed to effective removal of the organic solvent in slurry and increased conductivity anode. By application infrared sintering, we significantly improved electrical contacts nanoparticles electrochemical performance cells. A Pt/C coated hydrophobic carbon paper was used air cathode provide good contact, an oxygen flow ability, water sealing. Gel-style KOH introduced as electrolyte...
Buildings consume 73% of electricity produced in the United States and, currently, they are largely passive participants electric grid. However, flexibility building loads can be exploited to provide ancillary services enhance grid reliability. In this paper, we investigate two control strategies that allow Heating, Ventilation and Air-Conditioning (HVAC) systems commercial residential buildings frequency regulation while maintaining occupants comfort. The first optimal strategy is based on...
The modern electric power grid is gradually evolving to include high-penetration electronics in a distributed architecture that will pose pressing new challenges on quality, system control, and operation. state-of-the-art smart inverters for solar photovoltaics may not be sufficient address some of the stability control such as harmonic resonances due interactions multiple converters. This paper discusses future with integrated functions its associated identifies inverter research trends...
Intelligent Heating, Ventilation, and Air Conditioning (HVAC) control using deep reinforcement learning (DRL) has recently gained a lot of attention due to its ability optimally the complex behavior HVAC system. However, more exploration is needed on understanding adaptability challenges that DRL agent could face during deployment phase. Using online for such applications not realistic long period likely poor comfort process. Alternatively, can be pre-trained building model prior deployment....
The utilization of aggregated demand-side flexibility via demand response (DR) has become a promising pathway for the integration renewable energy resources in power systems. Nowadays, there are several management strategies DR such as price-based transactive control strategies. However, many existing neglect physics and operational constraints underlying distribution networks when computing price, raising concerns regarding their theoretical practical values. This paper studies this issue...