System and method for predicting building thermal loads
First Claim
1. A system for forecasting thermal loads for a building comprising:
- a thermal condition forecaster for forecasting weather conditions to be compensated by a building environmental management system; and
a thermal load predictor for modeling environmental management system components to generate a predicted thermal load for maintaining a set of environmental conditions.
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Abstract
A system for forecasting predicted thermal loads for a building comprises a thermal condition forecaster for forecasting weather conditions to be compensated by a building environmental control system and a thermal load predictor for modeling building environmental management system components to generate a predicted thermal load for a building for maintaining a set of environmental conditions. The thermal load predictor of the present invention is a neural network and, preferably, the neural network is a recurrent neural network that generates the predicted thermal load from short-term data. The recurrent neural network is trained by inputting building thermal mass data and building occupancy data for actual weather conditions and comparing the predicted thermal load generated by the recurrent neural network to the actual thermal load measured at the building. Training error is attributed to weights of the neurons processing the building thermal mass data and building occupancy data. Iteratively adjusting these weights to minimize the error optimizes the design of the recurrent neural network for these non-weather inputs.
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Citations
25 Claims
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1. A system for forecasting thermal loads for a building comprising:
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a thermal condition forecaster for forecasting weather conditions to be compensated by a building environmental management system; and
a thermal load predictor for modeling environmental management system components to generate a predicted thermal load for maintaining a set of environmental conditions. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A method for forecasting thermal loads for a building comprising:
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collecting building and weather data from a building system and weather forecasting system;
generating a set of forecasted weather conditions and building data from the collected data; and
providing the generated data set to a first neural network for the computation of a thermal load prediction. - View Dependent Claims (15, 16, 17, 18, 19)
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20. A method for forecasting thermal loads for a building comprising:
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forecasting weather conditions to be compensated by a building environmental management system; and
generating a predicted thermal load for maintaining a set of environmental conditions. - View Dependent Claims (21, 22, 23, 24, 25)
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Specification