Efficiency of electric power generation in the United States: Analysis and forecast based on data envelopment analysis

TL;DR: In this article, the authors summarized previous research efforts on Data Envelopment Analysis (DEA) applied to energy and environment in the past four decades, including concepts and methodologies on DEA environmental assessment.

TL;DR: In this article, the authors present an alternative analysis framework to evaluate the effects of technology heterogeneities and undesirable output on environmental efficiency measurement, which can be used to measure efficiency improvements brought about by enhanced technical management and technological advances.

TL;DR: In this article, the Luenberger productivity indicator, a generalization of the commonly used Malmquist productivity index, using a data envelopment analysis approach, was used to measure productivity in Japan's steam power-generation sector and examined the effect of reforms on the productivity of this industry over the period 1978-2003.

TL;DR: In this paper, the authors evaluated the power-generation efficiency of major thermal power plants in Taiwan during 2004-2006 using the data envelopment analysis (DEA) approach, and the most important variable in this DEA model is the "heating value of total fuels".

TL;DR: The CCR ratio form introduced by Charnes, Cooper and Rhodes, as part of their Data Envelopment Analysis approach, comprehends both technical and scale inefficiencies via the optimal value of the ratio form, as obtained directly from the data without requiring a priori specification of weights and/or explicit delineation of assumed functional forms of relations between inputs and outputs as mentioned in this paper.

TL;DR: In this article, the basic CCR model and DEA models with restricted multipliers are discussed. But they do not consider the effect of non-discretionary and categorical variables.

TL;DR: In this paper, the authors present a power quality evaluation procedure for the purpose of measuring the power quality of a power supply. But, they do not define the specific classes of power quality problems.

TL;DR: A model for measuring the efficiency of Decision Making Units =DMU's is presented, along with related methods of implementation and interpretation, and suggests the additional possibility of new approaches obtained from PFT-NFT combinations which may be superior to either of them alone.