A5082690654- Smart Grid Energy Management
- Building Energy and Comfort Optimization
- Health disparities and outcomes
- Human Mobility and Location-Based Analysis
- Data-Driven Disease Surveillance
- Impact of Light on Environment and Health
- Energy Load and Power Forecasting
- Energy Efficiency and Management
- Time Series Analysis and Forecasting
- Energy, Environment, and Transportation Policies
- Insurance, Mortality, Demography, Risk Management
- Fault Detection and Control Systems
- Electric Power System Optimization
- Power Line Communications and Noise
- Smart Grid Security and Resilience
- Healthcare Systems and Public Health
- Optimal Power Flow Distribution
- Modeling, Simulation, and Optimization
- Advanced Text Analysis Techniques
- Context-Aware Activity Recognition Systems
- Climate Change, Adaptation, Migration
- Suicide and Self-Harm Studies
- COVID-19 epidemiological studies
- Sentiment Analysis and Opinion Mining
- Urban Design and Spatial Analysis
Oak Ridge National Laboratory
2023-2025
National Transportation Research Center
2023-2024
Current human population growth along Earth's coasts is on a collision path with anticipated consequences of increasing natural and anthropogenic induced coastal hazards. Using recently-available ambient, dasymetric data, we developed methods to estimate annual continental global populations from (2000-2018) measured horizontally the shoreline inward. We found: (1) large concentrations in relatively small bands regions coast (~ 2 billion within 50 km ~ 1 10 km); (2) higher rates than inland...
Abstract Oak Ridge National Laboratory (ORNL) annually develops the LandScan Global (LSG) dataset, a 30 arcsecond global gridded population dataset representing ambient human distribution. This multivariable dasymetric model disaggregates census counts within administrative boundaries using ancillary data. Each country’s distribution reflects cultural and socioeconomic patterns; manual validations yield unique for assessing populations at risk. For over two decades, LSG has been standard...
Abstract Background Suicide is a leading cause of death in the US Comparative State-level spatial analysis between Veterans Health Administration (VHA veterans) and whole population can reveal differences conditions for targeted interventions intricate geographical patterns. Methods The study contains 2018 2019 suicide deaths VHA veterans population. They were used to calculate state-level rates. States classified by whether their veteran rates above or below respective mean Local Moran’s I...
Nighttime light (NTL) imagery has been widely used to predict economic impacts, electricity consumption, and pollution. In this research, we evaluated nighttime the county-level population in United States using deep learning methods. Rather than condensing brightness information into a single statistic (e.g., mean annual per county), research aims exploit temporal nature of NTL imagery. Monthly composites VIIRS were analyzed for each county create quantiles brightness. These provided as an...
Heating, ventilation, and air conditioning (HVAC) systems account for the highest share of home energy consumption in United States. Optimized HVAC control can provide thermal improved comfort to occupants, improve efficiency, reduce cost, support grid services. In this paper, we discuss a multi-agent cloud-based software framework that has been deployed occupied residential neighborhood. This system enables automatic data collection, learning, optimization, dispatches signals neighborhood...
Peak reduction is an important concern that can help reduce the growing stress on distribution grids and allow to defer investments in new capacity. Water heaters represent a convenient way of reducing peak, depending controllability devices. But while controlling water does shift it also results rebound effects, which require additional understanding before heater fleets be used large scale. We attempt investigate nature peak behaviors demonstrate are not homogenous their behavior....
The use of residential heating, ventilation, and air conditioning (HVAC) to shift peak demand or provide ancillary services is a potential solution in the presence older grids distributed renewables. However, ensure efficient devices, utilities need accurately forecast load adopt error correction schemes when necessary. While significant theoretical research exists area predictive control HVAC, little experimental evidence exists. lack data turn causes researchers be unprepared for...
Increasing fuel prices and capacity investment deferral place an increasing demand for peak reduction from distribution level systems. Residential commercial devices, such as HVAC systems water heaters, are increasingly involved in load control programs, their use may generate synchronization rebound effects, artificial peaks caused by device optimization. While there have been concerns over synchronization, few studies quantify the extent of this effect with numerical values. In study, we...
Abstract Machine-derived sentiment analysis has become a pervasive and useful tool to address wide array of issues in natural language processing. Leading technology companies such as Google now provide tools (SATs) readily accessible online products. Academic researchers develop make available SATs support the research enterprise. One major challenges with is inconsistencies results among various SATs. Consequently, selection SAT for specific purpose may significantly impact application....
Peak reduction is an important concern that can help reduce the growing stress on distribution grid and allow to defer investments in new capacity. However, for customer privacy comfort may impact performance of load control residential devices. Water heaters represent a convenient way reducing peak due their ability store thermal energy future use. In this paper, we developed methodology utilities gain more insight with respect efforts shaving no necessary information about water except...
Building electrification is putting pressure on distribution grid worldwide. Peak reduction an important concern that can help reduce the growing stress and allow to defer investments in new capacity. Water heaters represent a convenient way of reducing peak because they are less dependent weather, their storage volume allows for asynchronous water heating hot use. Previous empirical studies investigated ability through adjustment temperature setpoint. However, not all equipment vendors...
Among residential devices, water heaters consume 20% of home energy use in the United States. Water possess capability to store within their reservoirs, enabling ability decouple from hot use. This can be used reduce usage and costs while also supporting grid services. requires accurate forecasting parameters heater such as upper lower temperatures. In this study, we analyzed performance behavior a model real-world predict control mechanism that is implemented smart neighborhood. The...
Obstacle detection and avoidance plays a crucial role in autonomous navigation of unmanned ground vehicles. This becomes more challenging off-road environments due to the higher probability finding negative obstacles (e.g., holes, ditches, trenches, etc.) compared with on-road environments. One approach solve this problem is avoid candidate path obstacle, but avoiding all time not possible. In such cases, planner may need choose obstacle that causes least amount damage vehicle. To deal...
Electricity prosumers are energy subsystems that not only consume, but also produce electricity. They present in distribution level networks as traditional utility customers who have installed distributed resources. transmission large conglomerates own both generation assets and industrial loads. Previous work on the economics of has demonstrated a market incentives to behave more competitively compared producers consumers markets. This paper further explores behavior their response policies...
Demand response is an important emerging part of smart grids with wide coverage in theoretical and modeling research. However, experimental evidence on the real-life behavior controllable loads still limited. We present observations regarding latency communication aspects operation a fleet residential water heaters neighborhood Atlanta, GA. Our analysis shows that not constant does follow Gaussian distribution. also find there systematic relationship between hour day. Latency was found to...
Demand response is a growing concept in light of the internet things and an increasing need for grid flexibility. Water heaters are one preferred devices providing demand services peak management due to their capability store energy. The efficient use water requires consideration associated load effects such as synchronization device schedules rebound effect. These present significant challenge. Despite importance mentioned heater queuing scheduling, there has been no effort quantify...
Demand response is an important emerging part of smart grids and there a large stream research from theoretical modeling perspectives. However, relatively little experimental evidence that could help researchers building operators make informed decisions on best practices for modeling, developing, deployment control mechanisms. We contribute to the body by providing numerical insights into role availability residential HVAC systems control. share findings duration cooling cycle, off...