Improving Short Term Wind Power Predictions (Scientific) (S105A)

Wed, 5/8: 9:00 AM  - 10:30 AM 
Scientific Session 
Energy balancing authorities around the world all agree that a highly accurate wind speed forecast for wind parks, early in the energy procurement cycle, will help reduce the energy procurement costs and improve grid reliability. Although improving, short term wind forecasts still contain a high degree of uncertainty. Causes of uncertainties range from natural phenomena to forecast model error; his session is designed to introduce various approaches into reducing the uncertainty and wind generation forecast errors.

Session Chair

Mr. Jim Blatchford, California ISO

Presentations

Probabilistic Power Predictions with an Analog Ensemble

View Abstract 803

Podium Speaker

Dr. Luca Delle Monache, National Center for Atmospheric Center

Uncertainty Reduction and Quantification in Wind Generation Forecast with Exploratory Data Analysis

View Abstract 796

Podium Speaker

Dr. Zhangshuan Hou, Pacific Northwest National Laboratory

The Impact of Real-Time Meteorological Measurement on Regional Short-Term Wind Energy Forecasting

View Abstract 693

Podium Speaker

Mr. Adam Atkins, 3TIER Inc.

Integrating Forecasts into Utility Operation Tools

View Abstract 486

Podium Speaker

Ms. Dora Nakafuji, Hawaiian Electric Company