Power load forecasting
- Citation Author(s):
-
Bo Tian
- Submitted by:
- bo tian
- Last updated:
- DOI:
- 10.21227/rhbz-ax87
- Data Format:
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- Keywords:
Abstract
This dataset contains three regional subsets comprising the electricity load and corresponding weather conditions collected from Australia, Panama, and Austria. Each subset includes time-synchronized records of power consumption along with key meteorological variables such as temperature, humidity, wind speed, and other locally available weather indicators. The data were gathered from regional grid operators and national meteorological sources to reflect the actual operating and environmental conditions of each region.
The dataset is suitable for research on load forecasting, renewable-integrated grid modeling, climate-driven demand analysis, and energy system optimization. By providing data from three geographically and climatically diverse regions, this collection enables cross-regional comparison and robust model development for real-world power system applications.
Instructions:
Dataset 1 (Australia): This dataset contains regional electricity load statistics from Australia, covering the period from January 1, 2006, to January 1, 2011. The data were recorded every 30 minutes, resulting in a total of 86,748 records. Each record includes five key features: dry-bulb temperature, dew-point temperature, wet-bulb temperature, humidity, and the corresponding load value.
Dataset 2 (Panama): This dataset provides load data from three major cities in Panama, spanning the period from January 3, 2015, to June 27, 2020. The data were collected hourly, totaling 48,048 samples. Each sample includes 16 meteorological and contextual features, such as 2-meter temperature, relative humidity, wind speed, liquid precipitation, holiday indicators, and school attendance information.
Dataset 3 (Austria): This energy and weather dataset from Austria covers the period from January 2015 to January 2020, with data collected on an hourly basis, totaling 43,848 samples. It includes 19 features, such as dew-point temperature, total precipitation, rainfall, snowfall, total and layered cloud cover (low-, mid-, and high-level), surface air pressure, total shortwave radiation, direct and diffuse radiation, temperature and relative humidity at a height of 2 meters, average wind speed and direction at 10 meters, and gust speed.
