APPARATUS AND METHOD FOR FORECASTING ENERGY CONSUMPTION
First Claim
1. An apparatus for forecasting energy consumption, the apparatus comprising:
- a load data collection unit configured to collect low level data from a device that generates energy load data;
a filtering and attribute selection unit configured to eliminate attributes that are duplicated or used below a prefixed average from attributes of the collected low level data to produce an optimal attribute set;
a training unit configured to produce a multi-class in which a plurality of single classes is hierarchically coupled in at least two levels and create training data used for forecasting the energy consumption based on the produced multi-class, wherein each single class includes its optimal attribute set; and
a forecasting unit configured to receive the low level data in real-time from the load data collection unit and calculate the energy consumption to be forecasted on a basis of the received real-time low level data, the multi-class and the training data.
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Abstract
An apparatus for forecasting energy consumption includes a load data collection unit to collect low level data related to energy load data. The apparatus includes a filtering/attribute selection unit to eliminate duplicated attributes from attributes of low level data to produce an optimal attribute set. The apparatus includes a training unit produces a multi-class in which a plurality of single classes is hierarchically coupled in at least two levels and creates training data used for forecasting the energy consumption based on the produced multi-class. The apparatus includes a forecasting unit calculates the energy consumption to be forecasted on a basis of the real-time low level data, the multi-class and the training data. Therefore, it is possible to contribute to the progressive expansion and update of a cooling load forecasting system.
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Citations
10 Claims
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1. An apparatus for forecasting energy consumption, the apparatus comprising:
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a load data collection unit configured to collect low level data from a device that generates energy load data; a filtering and attribute selection unit configured to eliminate attributes that are duplicated or used below a prefixed average from attributes of the collected low level data to produce an optimal attribute set; a training unit configured to produce a multi-class in which a plurality of single classes is hierarchically coupled in at least two levels and create training data used for forecasting the energy consumption based on the produced multi-class, wherein each single class includes its optimal attribute set; and a forecasting unit configured to receive the low level data in real-time from the load data collection unit and calculate the energy consumption to be forecasted on a basis of the received real-time low level data, the multi-class and the training data. - View Dependent Claims (2, 3, 4, 5, 6)
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7. A method for forecasting energy consumption, the method comprising:
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collecting low level data from a device that generates energy load data; eliminating attributes that are duplicated or used below a prefixed average from the attributes of the collected low level data to produce an optimal attribute set; producing a plurality of single classes, each single class including its optimal attribute set; producing a multi-class in which the single classes are hierarchically coupled in at least two levels; and creating training data to forecast the energy consumption based on the produced multi-class. - View Dependent Claims (8, 9, 10)
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Specification