2001 - Fellow of the American Society of Mechanical Engineers
The scientist’s investigation covers issues in Energy, Energy conservation, Energy consumption, Mathematical model and Operations management. His study looks at the intersection of Energy and topics like Simulation with Building energy. David E. Claridge combines subjects such as Efficient energy use and Renewable energy with his study of Energy conservation.
His studies deal with areas such as System identification and Operations research as well as Energy consumption. His study in Mathematical model is interdisciplinary in nature, drawing from both Reliability engineering and HVAC. The concepts of his Operations management study are interwoven with issues in Payback time, ASHRAE 90.1 and Architectural engineering.
His main research concerns Energy consumption, Energy, Operations management, Project commissioning and Efficient energy use. His Energy consumption study combines topics from a wide range of disciplines, such as Energy conservation, Automotive engineering, HVAC and Outside air temperature. His Energy conservation research integrates issues from Environmental engineering and Energy management.
David E. Claridge interconnects Regression analysis, Simulation, Civil engineering and Operations research in the investigation of issues within Energy. His work on Data quality as part of general Operations management study is frequently connected to Cost effectiveness, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Efficient energy use research includes themes of Metering mode and Renewable energy.
David E. Claridge spends much of his time researching Technical report, Renewable energy, Annual report, Environmental quality and Energy consumption. His Technical report course of study focuses on Operations management and Transport engineering, Project plan and Technical analysis. His biological study spans a wide range of topics, including Civil engineering, Efficient energy use, Agricultural economics and Plan.
He has included themes like Energy conservation, Energy and Econometrics in his Efficient energy use study. In his study, Process and Manufacturing engineering is inextricably linked to Engineering management, which falls within the broad field of Annual report. Within one scientific family, David E. Claridge focuses on topics pertaining to Outside air temperature under Energy consumption, and may sometimes address concerns connected to Fault, Real-time computing, Fault detection and isolation and Standard deviation.
David E. Claridge mainly focuses on Energy consumption, Building energy, Statistics, Energy balance and Outside air temperature. David E. Claridge conducted interdisciplinary study in his works that combined Energy consumption and Hot and humid. His Energy balance research is multidisciplinary, relying on both Control engineering, Data quality, Estimation and Efficient energy use.
His Outside air temperature study combines topics in areas such as Fault, Fault detection and isolation, Real-time computing and Standard deviation. Variable and Regression analysis are two areas of study in which David E. Claridge engages in interdisciplinary research. His studies in Regression analysis integrate themes in fields like Econometrics, Energy, Linear regression and Statistical model.
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Calibration Procedure for Energy Performance Simulation of a Commercial Building
Jongho Yoon;E. J. Lee;D. E. Claridge.
Journal of Solar Energy Engineering-transactions of The Asme (2003)
International performance measurement & verification protocol: Concepts and options for determining energy and water savings
John Cowan;Steve Kromer;David E. Claridge;Ellen Franconi.
International Performance Measurement & Verification Protocol (2001)
Ambient-temperature regression analysis for estimating retrofit savings in commercial buildings
J. K. Kissock;T. A. Reddy;D. E. Claridge.
Journal of Solar Energy Engineering-transactions of The Asme (1998)
Building Energy Use Prediction and System Identification Using Recurrent Neural Networks
J. F. Kreider;D. E. Claridge;P. Curtiss;R. Dodier.
Journal of Solar Energy Engineering-transactions of The Asme (1995)
Analytical model to predict annual soil surface temperature variation
M. Krarti;C. Lopez-Alonzo;D. E. Claridge;J. F. Kreider.
Journal of Solar Energy Engineering-transactions of The Asme (1995)
Multivariate Regression Modeling
S. Katipamula;T. A. Reddy;D. E. Claridge.
Journal of Solar Energy Engineering-transactions of The Asme (1998)
Development of a Toolkit for Calculating Linear, Change-point Linear and Multiple-linear Inverse Building Energy Analysis Models
Atch Sreshthaputra;Jeff S. Haberl;David E. Claridge.
(2001)
A Four-Parameter Change-Point Model for Predicting Energy Consumption in Commercial Buildings
David Ruch;David E. Claridge.
Journal of Solar Energy Engineering-transactions of The Asme (1992)
Development and testing of an Automated Building Commissioning Analysis Tool (ABCAT)
John D. Bynum;David E. Claridge;Jonathan M. Curtin.
Energy and Buildings (2012)
System and Method for Remote Monitoring and Controlling of Facility Energy Consumption
Charles H. Culp;David E. Claridge;Jeffrey S. Haberl;William D. Turner.
(2008)
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