A5082965516- Energy Load and Power Forecasting
- Meteorological Phenomena and Simulations
- Tropical and Extratropical Cyclones Research
- Wind Energy Research and Development
- Flood Risk Assessment and Management
- Power System Reliability and Maintenance
- Infrastructure Resilience and Vulnerability Analysis
- Hydrological Forecasting Using AI
- Computational Physics and Python Applications
- Solar Radiation and Photovoltaics
- Electric Power System Optimization
- Climate variability and models
This study proposed a model for deterministic and probabilistic wind power generation forecasting its corresponding procedures. The main contents include numerical weather prediction (NWP) systems, data preprocessing techniques, models that use artificial intelligence methods. NWP speeds generated by the Central Weather Bureau (CWB) of Taiwan based on three atmospheric models, namely research (WRFD), radar (RWRF), WRF-based ensemble system (WEPS), were used as inputs. In terms preprocessing,...
Because of climate changes, natural disasters are becoming more serious. For instance, the intensity typhoons has been increasing in recent years. Typhoons and other have high-impact low-probability characteristics. Thus, procedures for preparing power system resilience important issues. This article proposes an all-inclusive process operators to make decisions enhancing economic value during a severe weather event. first considers typhoon track, fragility curve recovery time transmission...
With the increasing proportion of renewable energy in power systems, use probabilistic forecasts to provide uncertainty information for future decision analyses is inevitable. In addition, resilience systems extreme events also a matter concern. This paper proposes decision-making model unit scheduling, using ensemble numerical weather predictions. this analysis, if wind speeds exceed cut-out value turbine, then it defined as predicted event The economic decision-makers wind-speed will be...
This work proposed a model and the procedures of deterministic probabilistic forecasts, e.g., hour-ahead day-ahead, for wind power generation. The contents this research include numerical weather prediction, data pre-processing technique, forecasting models using artificial intelligence methods. Regarding inputs model, we had considered three kinds NWP speeds, generated by Central Weather Bureau based on atmospheric models, namely WRFD, RWRF WEPS, historical measured out an anemometer tower,...
Heavy precipitation from tropical cyclones (TCs) may result in disasters, such as floods and landslides, leading to substantial economic damage loss of life. Prediction TC based on ensemble post-processing procedures using machine learning (ML) approaches has received considerable attention for its flexibility modeling computational power managing complex models. However, when applying ML techniques a specific area, the available observation data are typically insufficient comprehensive...
Due to climate changes, many natural disasters have become more serious, such as the intensity of typhoons that are getting higher every year. The characteristics a disaster is high-intensity but low-probability event (HILP). How survive and increase system resilience in power systems an important issue. This paper used model about line faults simulate failure probability when wind speeds reach up certain level, quantitative method calculate resilience. Then, high was obtained using...