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Creatorin/solar_selected

This dataset is primarily used for analysis of energy and weather data, containing multiple features such as energy performance (Leistung) and weather data (cloud cover, radiation, temperature, etc.) from several geographic locations. The data exhibit various time lags and rolling statistics, making them suitable for time series analysis and forecasting models. The dataset is split into training, validation, and test sets with 61,368, 8,759, and 2,925 samples respectively.

Updated 7/10/2024
hugging_face

Description

Dataset Overview

Feature Information

The dataset includes the following features:

  • Leistung: type float64
  • hour_cos: type float64
  • Leistung_rolling_std_24: type float64
  • Leistung_lag_1_rolling_std_24: type float64
  • Leistung_rolling_std_48: type float64
  • hour_sin: type float64
  • Leistung_lag_1_rolling_std_48: type float64
  • Leistung_lag_2_rolling_std_24: type float64
  • Leistung_lag_6_rolling_std_24: type float64
  • cloud_cover_erfurt_lag_4380: type float64
  • Leistung_lag_3_rolling_std_24: type float64
  • cloud_cover_ingolstadt_lag_48: type float64
  • diffuse_radiation_templin_lag_48_rolling_mean_8760: type float64
  • diffuse_radiation_kastellaun_lag_8760_rolling_mean_8760: type float64
  • Leistung_lag_2_rolling_std_48: type float64
  • diffuse_radiation_guetersloh_lag_8760_rolling_mean_8760: type float64
  • Leistung_lag_6_rolling_std_48: type float64
  • temperature_2m_ingolstadt_lag_48: type float64
  • Leistung_lag_3_rolling_std_48: type float64
  • diffuse_radiation_kastellaun_lag_8760_rolling_mean_48: type float64
  • cloud_cover_ingolstadt_lag_4380: type float64
  • cloud_cover_guetersloh_lag_24: type float64
  • diffuse_radiation_templin_lag_48_rolling_mean_48: type float64
  • diffuse_radiation_kastellaun_lag_8760_rolling_mean_24: type float64
  • diffuse_radiation_erfurt_lag_8760_rolling_mean_48: type float64
  • diffuse_radiation_neumunster_lag_6_rolling_mean_24: type float64
  • Leistung_rolling_mean_24: type float64
  • Leistung_lag_12_rolling_std_24: type float64
  • direct_normal_irradiance_templin_lag_48_rolling_mean_48: type float64
  • diffuse_radiation_ingolstadt_lag_48_rolling_mean_24: type float64
  • Leistung_lag_1: type float64
  • Leistung_lag_24: type float64
  • Leistung_lag_2_rolling_mean_24: type float64
  • cloud_cover_neumunster_lag_48_rolling_mean_48: type float64
  • Leistung_rolling_mean_48: type float64
  • Leistung_lag_24_rolling_std_24: type float64
  • Leistung_lag_3_rolling_mean_24: type float64
  • Leistung_lag_48: type float64
  • Leistung_lag_8760: type float64
  • diffuse_radiation_neumunster_lag_6_rolling_mean_48: type float64
  • Leistung_lag_2_rolling_mean_48: type float64
  • cloud_cover_erfurt: type float64
  • Leistung_lag_3_rolling_mean_48: type float64
  • Leistung_lag_12_rolling_std_48: type float64
  • Leistung_lag_8760_rolling_mean_24: type float64
  • diffuse_radiation_erfurt_lag_48_rolling_mean_8760: type float64
  • diffuse_radiation_templin_lag_12: type float64
  • direct_normal_irradiance_erfurt_lag_48_rolling_mean_48: type float64
  • temperature_2m_guetersloh_lag_4380_rolling_mean_24: type float64
  • diffuse_radiation_neumunster_lag_12: type float64
  • index_level_0: type timestamp[ns, tz=UTC]

Dataset Split

  • train: 61,368 samples (25,038,144 bytes)
  • validation: 8,759 samples (3,573,672 bytes)
  • test: 2,925 samples (1,193,400 bytes)

Dataset Size

  • Download size: 20,629,467 bytes
  • Total size: 29,805,216 bytes

Configuration

  • Config name: default
    • Data file paths:
      • train: data/train-*
      • validation: data/validation-*
      • test: data/test-*

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Topics

Solar Power Generation
Time Series Analysis

Source

Organization: hugging_face

Created: Unknown

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