Extreme weather events, including fires, heatwaves(HWs), and droughts, have significant impacts on earth, environmental, and power energy systems. Mechanistic and predictive understanding, as well as probabilistic risk assessment of these extreme weather events, are crucial for detecting, planning...
Filter results
Category
- (-) Computational Mathematics & Statistics (1)
- (-) Energy Resiliency (1)
- (-) National Security (1)
- Scientific Discovery (6)
- Biology (5)
- Computational Research (5)
- Data Analytics & Machine Learning (5)
- Human Health (5)
- Computing & Analytics (1)
- Data Analytics & Machine Learning (1)
- Earth System Science (1)
- Energy Efficiency (1)
- Energy Storage (1)
- Renewable Energy (1)
- Solar Energy (1)
Content type
Tags
- (-) Autoimmunity (1)
- (-) Data inventory (1)
- (-) Weatherization (1)
- Synthetic (5)
- Cybersecurity (2)
- Electrical energy (2)
- Energy Equity (2)
- Energy Storage (2)
- Machine Learning (2)
- Proteomics (2)
- Data Analysis (1)
- Droughts (1)
- EBC (1)
- Energy Burden (1)
- Energy Justice (1)
- Exhaled Breath Condensate (1)
- Extreme weather (1)
- Fires (1)
- Heat Exchanger (1)
- Heatwaves (1)
- High-Performance Computing (1)
- Hydrothermal Liquefaction (1)
- Omics (1)
- Output Databases (1)
- Predictive Modeling (1)
- Quantification (1)
- Renewable Energy (1)
- TMT (1)
- Type 1 Diabetes (1)
- Wet Waste (1)
Showing 1 - 3 of 3
A total of 172 children from the DAISY study with multiple plasma samples collected over time, with up to 23 years of follow-up, were characterized via proteomics analysis. Of the children there were 40 controls and 132 cases. All 132 cases had measurements across time relative to IA. Sampling was...
Project
PNNL’s Vision Statement for Equity in the Power Grid Drawing from a wealth of interdisciplinary research in grid modernization, PNNL is spearheading an effort to advance equity and energy justice through the role of scientific research with the goal of building an advanced national power grid...
Datasets
2