Renewable Energy Forecasts for SPP Region & Sites – Sample

Vaisala Xweather provides accurate energy forecasts for utility-scale wind and solar projects in North American RTO/ISO regions.

This high-quality data set for the Southwest Power Pool (SPP) region helps asset owners, project managers, and energy traders make confident, data-driven decisions at the site-specific and regional level to effectively manage investments, reduce future risks, and gain a competitive edge in energy markets.

- Look ahead with 7-day power forecasts at 1-hour intervals at the plant and regional level for real-time and day-ahead markets.

- Look back at site-level estimated actual power data in 5-minute intervals for the last two days.

Xweather combines cutting-edge weather and environmental modeling, robust data science, and powerful supercomputing to produce accurate energy forecasts and actual power estimates for wind and solar projects.

This sample data set contains 1 day of forecast data and 1 day of estimated actual power data for sites in the SPP region in our database.

All data provided is interval ending.

Please contact us using the Contact Vaisala link in the listing if you would like to purchase a regularly updated data feed for the SPP region.

Tables included:

LATEST 7-DAY FORECAST
LAST 2 DAYS ESTIMATED ACTUAL POWER
REGIONAL SITES METADATA

Fields included:

LATEST 7-DAY FORECAST
- NAME — renewable energy project name
- TIME — date and time for the forecast
- FORECAST — forecasted power in MW
- INTERVAL — the time between forecasts
- TIME ZONE — local time zone for time values
- FORECAST CREATION TIME — date and time the forecast was created
- MODEL INITIALIZATION TIME — date and time when the forecast model was initiated

LAST 2 DAYS ESTIMATED ACTUAL POWER
- NAME — renewable energy project name
- TIME — date and time for the observation
- ESTIMATED ACTUAL POWER — estimated actual power in MW
- INTERVAL — the time between observations
- TIME ZONE — local time zone for time values
- FILE CREATION TIME — date and time the file was created

REGIONAL SITES METADATA
- NAME — renewable energy project name
- ALTERNATE_NAME — alternative name
- EIA_PLANT_CODE — U.S. Energy Information Administration project ID
- MAX_CAPACITY — project capacity in MW
- MODEL — turbine model used in wind projects
- ONLINE_DATE — operational start date
- LATITUDE — location of the project
- LONGITUDE — location of the project
- STATE — location of the project
- COUNTY — location of the project

DATA FORMAT AND GRANULARITY

Data is provided for projects and sites within the SPP region in our database.

The data set includes three CSV files.

1) The first file contains site-specific metadata about each project in the region such as name, location, and capacity.

2) The second file provides a 10-day energy forecast (168 hours) in 1-hour intervals for each site in the region and a forecast for the SPP region as a whole.

3) The third file contains the estimated actual power output from each site and for the region as a whole over the last 2 days in 5-minute intervals.

SOURCES
The total actual power for the region comes from SPP. The estimated actual power for each site in the region and the 7-day energy forecasts are produced using Vaisala's proprietary blend of numerical weather prediction trained models, statistical data modeling, and sophisticated machine-learning algorithms. Wind energy estimates and forecasts combine the actual operating characteristics of each project with the most advanced weather forecasts available.

搜集汇总

背景与挑战

背景概述

该样本数据集提供SPP地区风电和太阳能项目的7天功率预测(1小时间隔)和2天实际功率估计(5分钟间隔)数据，包含站点元数据、预测值和实际值三个CSV文件。数据采用Vaisala专有的天气预测模型和机器学习算法生成，可帮助能源从业者进行投资决策和市场分析。