A5102947259- Energy Load and Power Forecasting
- Wave and Wind Energy Systems
- Climate variability and models
- Solar Radiation and Photovoltaics
- Ocean Waves and Remote Sensing
- Meteorological Phenomena and Simulations
- Wind Energy Research and Development
- Economic Growth and Productivity
- Photovoltaic System Optimization Techniques
- Oceanographic and Atmospheric Processes
- Financial Risk and Volatility Modeling
- Ionosphere and magnetosphere dynamics
- Tropical and Extratropical Cyclones Research
- Geomagnetism and Paleomagnetism Studies
- Air Quality and Health Impacts
- Atmospheric chemistry and aerosols
- Stock Market Forecasting Methods
- Solar and Space Plasma Dynamics
- Complex Systems and Time Series Analysis
- Solar Thermal and Photovoltaic Systems
- Hydrological Forecasting Using AI
- Air Quality Monitoring and Forecasting
- Forecasting Techniques and Applications
- Market Dynamics and Volatility
- Monetary Policy and Economic Impact
Centre Hospitalier Universitaire de La Réunion
2020
Cellular Research (United States)
2012-2020
Molecular Biology Consortium
2013-2017
Circle (United States)
2011
Bryn Mawr Hospital
2011
Sprint (United States)
2005-2009
The Kilauea volcano in Hawai'i has been erupting continuously since 1983. eruptions are a major source of air pollution. Sulfur oxides released from the react with sunlight, atmospheric gases and aerosols, convert to fine particles. resulting volcanic smog, known as vog, is recognized health hazard. Data sets for emissions, sulfur dioxide gas particulate matter analyzed. Volcanic emissions available at daily resolution. Emissions show evidence nonlinear variability, intermittent trending...
Abstract A major issue in forecasting wind speed is non‐linear variability. The probability distribution of series shows heavy tails, while there are frequent state transitions, which changes by large magnitudes, over relatively short time periods. These so‐called ramp events one the critical issues currently facing energy community. Two algorithms analyzed here. first a regression on lags, including temperature as causal factor, with time‐varying parameters. second augments using transition...
A production function is used to estimate total factor productivity and the contribution of R&D growth. The impact found be higher than in most prior studies, for two reasons. First, stock larger, due use a longer time series with base values starting 1921, assumption no technical depreciation knowledge. Second, elasticity increases over time. In accounting post-WWII growth, results 1948–1980 are consistent earlier findings. Technical advance accelerated dramatically 1960s, but collapsed...
Abstract This study evaluates two types of models for wind speed forecasting. The first is with multiple causal factors, such as offsite readings and meteorological variables. These can be estimated using either regressions or neural networks. second state transition the closely related class regime‐switching models. are attractive in that they used to predict outlying fluctuations large ramp events. model uses a persistence forecast during periods high speed, low intermediate speeds....