Measuring industrial energy savings

[1]  G. Boyd A Method for Measuring the Efficiency Gap between Average and Best Practice Energy Use: The ENERGY STAR Industrial Energy Performance Indicator , 2005 .

[2]  John Seryak,et al.  UNDERSTANDING MANUFACTURING ENERGY USE THROUGH STATISTICAL ANALYSIS , 2004 .

[3]  John Seryak,et al.  LEAN ENERGY ANALYSIS: IDENTIFYING, DISCOVERING AND TRACKING ENERGY SAVINGS POTENTIAL , 2004 .

[4]  Peter Sandberg,et al.  Industrial energy efficiency: the need for investment decision support from a manager perspective , 2003 .

[5]  David E. Claridge,et al.  Inverse Model Toolkit: Application and Testing , 2003 .

[6]  David E. Claridge,et al.  Inverse Modeling Toolkit: Numerical Algorithms for Best-Fit Variable-Base Degree Day and Change Point Models , 2003 .

[7]  G. Boyd,et al.  Plant Level Productivity, Efficiency, and Environmental Performance of the Container Glass Industry , 2002 .

[8]  Mark S. Martinez,et al.  International performance measurement & verification protocol: Concepts and options for determining energy and water savings , 2001 .

[9]  David E. Claridge,et al.  Development of a Toolkit for Calculating Linear, Change–Point Linear and Multiple–Linear Inverse Building Energy Analysis Models, ASHRAE Research Project 1050-RP, Detailed Test Results , 2001 .

[10]  Soteris A. Kalogirou,et al.  Applications of artificial neural-networks for energy systems , 2000 .

[11]  P. Nijkamp,et al.  Energy Saving by Firms, Decision-Making, Barriers and Policies , 2001 .

[12]  T. A. Reddy,et al.  Uncertainty in baseline regression modeling and in determination of retrofit savings , 1998 .

[13]  David E. Claridge,et al.  Ambient-temperature regression analysis for estimating retrofit savings in commercial buildings , 1998 .

[14]  David E. Claridge,et al.  Multivariate Regression Modeling , 1998 .

[15]  Robert C. Sonderegger,et al.  A Baseline Model for Utility Bill Analysis Using Both Weather and Non-Weather Related Variables 1 , 1998 .

[16]  John Kissock,et al.  Modeling commercial building energy use with artificial neural networks , 1994 .

[17]  David E. Claridge,et al.  Using synthetic data to evaluate multiple regression and principal component analyses for statistical modeling of daily building energy consumption , 1994 .

[18]  M. Fels,et al.  Savings from Demand-Side Management Programs in US Electric Utilities , 1993 .

[19]  D. Claridge,et al.  Effect of short data periods on the annual prediction accuracy of temperature-dependent regression models of commercial building energy use , 1993 .

[20]  M. Fels,et al.  MEASUREMENT OF ENERGY SAVINGS FROM DEMAND-SIDE MANAGEMENT PROGRAMS IN US ELECTRIC UTILITIES ! , 1993 .

[21]  Margaret F. Fels PRISM: An Introduction , 1986 .