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    Monthly-Averaged Utilizability for Multiple Aperture Solar Systems 

    Source: Journal of Solar Energy Engineering:;1987:;volume( 109 ):;issue: 001:;page 52
    Author(s): M. Bida; J. F. Kreider
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: New solar utilizability correlations for solar collectors with apertures at various orientations are developed. These correlations use the functional form introduced by Klein/Theilacker and an ...
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    Solar-Load-Ratio Statistics for the United States and Their Use for Analytical Solar Performance Prediction 

    Source: Journal of Solar Energy Engineering:;1987:;volume( 109 ):;issue: 004:;page 281
    Author(s): T. Cowing; J. F. Kreider
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a new analytical method for estimating the annual auxiliary space heating energy requirements of passively heated solar buildings. It features closed-form, analytical expressions ...
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    Monthly-Averaged Cooling Load Calculations—Residential and Small Commercial Buildings 

    Source: Journal of Solar Energy Engineering:;1987:;volume( 109 ):;issue: 004:;page 311
    Author(s): M. Bida; J. F. Kreider
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A simplifed design method for estimating the sensible component of the cooling load of skin dominated buildings suitable for use on programmable calculators or microcomputers is developed. The ...
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    Principles of Sustainable Energy 

    Source: Journal of Solar Energy Engineering:;2012:;volume( 134 ):;issue: 001:;page 16501
    Author(s): F. Kreith; ALDO STEINFELD; J. F. Kreider
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Principles of Sustainable Energy1st ed. CRC Press, 2010, 855 pp., ISBN: 978-1-4398-1407-9.
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    The Reverse Flat Plate Collector: A Stationary, Nonevacuated, Low-Technology, Medium-Temperature Solar Collector 

    Source: Journal of Solar Energy Engineering:;1988:;volume( 110 ):;issue: 001:;page 23
    Author(s): V. Kienzlen; J. M. Gordon; J. F. Kreider
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The design, analysis, construction and testing of a novel solar collector is reported. The Reverse Flat Plate Collector (RFPC) is intended to be a stationary, nonevacuated, low-technology, medium ...
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    Analytical Model to Predict Nonhomogeneous Soil Temperature Variation 

    Source: Journal of Solar Energy Engineering:;1995:;volume( 117 ):;issue: 002:;page 100
    Author(s): M. Krarti; D. E. Claridge; J. F. Kreider
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents an analytical model to predict the temperature variation within a multilayered soil. The soil surface temperature is assumed to have a sinusoidal time variation for both ...
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    Estimation of Energy Savings for Building Retrofits Using Neural Networks 

    Source: Journal of Solar Energy Engineering:;1998:;volume( 120 ):;issue: 003:;page 211
    Author(s): M. Krarti; D. Cohen; P. Curtiss; J. F. Kreider
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper overviews some applications of neural networks (NNs) to estimate energy and demand savings from retrofits of commercial buildings. First, a brief background information on NNs is ...
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    Analytical Model to Predict Annual Soil Surface Temperature Variation 

    Source: Journal of Solar Energy Engineering:;1995:;volume( 117 ):;issue: 002:;page 91
    Author(s): M. Krarti; D. E. Claridge; J. F. Kreider; C. Lopez-Alonzo
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An analytical model is developed to predict the annual variation of soil surface temperature from readily available weather data and soil thermal properties. The time variation is approximated ...
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    Building Energy Use Prediction and System Identification Using Recurrent Neural Networks 

    Source: Journal of Solar Energy Engineering:;1995:;volume( 117 ):;issue: 003:;page 161
    Author(s): J. F. Kreider; D. E. Claridge; P. Curtiss; J. S. Haberl; M. Krarti; R. Dodier
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Following several successful applications of feedforward neural networks (NNs) to the building energy prediction problem (Wang and Kreider, 1992; JCEM, 1992, 1993; Curtiss et al., 1993, 1994; ...
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