Time Series Forecasting
Safetensors
granite_tsfm
tinytimemixer
ttm4hvac
tsfm
digital twin
hvac
energy
experiment
File size: 2,595 Bytes
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{
  "categorical_columns": [],
  "categorical_encoder": null,
  "conditional_columns": [],
  "context_length": 512,
  "control_columns": [
    "Heating Setpoint (C)",
    "Cooling Setpoint (C)"
  ],
  "encode_categorical": false,
  "feature_extractor_type": "TimeSeriesPreprocessor",
  "freq": "15min",
  "frequency_mapping": {
    "10min": 4,
    "15min": 5,
    "2min": 2,
    "30min": 6,
    "5min": 3,
    "D": 8,
    "H": 7,
    "W": 9,
    "d": 8,
    "h": 7,
    "min": 1,
    "oov": 0
  },
  "id_columns": [],
  "observable_columns": [
    "Outdoor Air Temperature (C)",
    "Outdoor Humidity (%)",
    "Wind Speed (m/s)",
    "Direct Solar Radiation (W/m^2)"
  ],
  "prediction_length": 96,
  "processor_class": "TimeSeriesPreprocessor",
  "scale_categorical_columns": true,
  "scaler_dict": {
    "0": {
      "copy": true,
      "feature_names_in_": [
        "Outdoor Air Temperature (C)",
        "Outdoor Humidity (%)",
        "Wind Speed (m/s)",
        "Direct Solar Radiation (W/m^2)",
        "Heating Setpoint (C)",
        "Cooling Setpoint (C)"
      ],
      "mean_": [
        11.390493131575868,
        0.4956289851215924,
        4.1970175874735585,
        278.3432437873138,
        16.57715488879615,
        29.028656050600922
      ],
      "n_features_in_": 6,
      "n_samples_seen_": 24528,
      "scale_": [
        11.317891632086864,
        0.22545425324222762,
        1.9710404456834305,
        363.18039056252474,
        4.281782019487313,
        4.333548507099598
      ],
      "var_": [
        128.09467099566186,
        0.0508296203050105,
        3.885000438519936,
        131899.996089148,
        18.333657262404852,
        18.779642663385154
      ],
      "with_mean": true,
      "with_std": true
    }
  },
  "scaler_type": "standard",
  "scaling": true,
  "scaling_id_columns": [],
  "scaling_id_columns_types": [],
  "static_categorical_columns": [],
  "target_columns": [
    "Room Air Temperature (C)",
    "HVAC Power Consumption (W)"
  ],
  "target_scaler_dict": {
    "0": {
      "copy": true,
      "feature_names_in_": [
        "Room Air Temperature (C)",
        "HVAC Power Consumption (W)"
      ],
      "mean_": [
        24.5124316080894,
        293.306042841455
      ],
      "n_features_in_": 2,
      "n_samples_seen_": 24528,
      "scale_": [
        4.063982629298236,
        585.3459721789326
      ],
      "var_": [
        16.515954811237805,
        342629.9071460998
      ],
      "with_mean": true,
      "with_std": true
    }
  },
  "time_series_task": "forecasting",
  "timestamp_column": "time"
}