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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

Forecasting by learning methods: The gross domestic product, total energy consumption and petroleum consumption of the United States.

Cheng, Yuanzhi. January 1994 (has links)
This study generalizes the applications of learning curve theory. It extends the simple power learning model in two ways: (1) by extending the model to include other sift variables, the extensive learning model; (2) by generalizing the functional relationship to give greater flexibility in modelling the learning curve, the translog learning model. Through empirical analyses of gross domestic product, total energy consumption, petroleum consumption, and petroleum products consumption, different learning curve models are explored and compared.

Performance Evaluation of Time series Databases based on Energy Consumption

Sanaboyina, Tulasi Priyanka January 2016 (has links)
The vision of the future Internet of Things is posing new challenges due to gigabytes of data being generated everyday by millions of sensors, actuators, RFID tags, and other devices. As the volume of data is growing dramatically, so is the demand for performance enhancement. When it comes to this big data problem, much attention has been given to cloud computing and virtualization for their almost unlimited resource capacity, flexible resource allocation and management, and distributed processing ability that promise high scalability and availability. On the other hand, the variety of types and nature of data is continuously increasing. Almost without exception, data centers supporting cloud based services are monitored for performance and security and the resulting monitoring data needs to be stored somewhere. Similarly, billions of sensors that are scattered throughout the world are pumping out huge amount of data, which is handled by a database. Typically, the monitoring data consists time series, that is numbers indexed by time. To handle this type of time series data a distributed time series database is needed.   Nowadays, many database systems are available but it is difficult to use them for storing and managing large volumes of time series data. Monitoring large amounts of periodic data would be better done using a database optimized for storing time series data. The traditional and dominant relational database systems have been questioned whether they can still be the best choice for current systems with all the new requirements. Choosing an appropriate database for storing huge amounts of time series data is not trivial as one must take into account different aspects such as manageability, scalability and extensibility. During the last years NoSQL databases have been developed to address the needs of tremendous performance, reliability and horizontal scalability. NoSQL time series databases (TSDBs) have risen to combine valuable NoSQL properties with characteristics of time series data from a variety of use-cases.   In the same way that performance has been central to systems evaluation, energy-efficiency is quickly growing in importance for minimizing IT costs. In this thesis, we compared the performance of two NoSQL distributed time series databases, OpenTSDB and InfluxDB, based on the energy consumed by them in different scenarios, using the same set of machines and the same data. We evaluated the amount of energy consumed by each database on single host and multiple hosts, as the databases compared are distributed time series databases. Individual analysis and comparative analysis is done between the databases. In this report we present the results of this study and the performance of these databases based on energy consumption.

Energy-income coefficients : their use and abuse

Adelman, Morris Albert 05 1900 (has links)
No description available.

Energy efficient routing structures and wakeup schemes for wireless sensor networks

Lee, Byoungyong. January 2009 (has links)
Thesis (Ph.D.)--University of Texas at Arlington, 2009.

Energy analysis of various tillage and fertilizer treatments on corn silage production

Owen, Gordon Thomas. January 1985 (has links)
No description available.

Energy consumption patterns in rural Zimbabwe with special reference to the role of electricity as a development incentive [electronic resource] /

Muchawaya, Davidzo. January 2007 (has links)
Thesis (MSocSci Community Development (Research)) -- University of Pretoria, 2007. / Includes bibliographical references (leaves 139-151)

Rural households' energy consumption in central Java, Indonesia

Purnama, Boen Muchtar. January 1990 (has links)
Thesis (Ph. D.)--Michigan State University, 1990. / Includes bibliographical references (leaves 158-162).

System building for sociotechnical change a sociological analysis of the efforts of energy-efficiency advocates in the U.S. residential housing system /

Burke, Bryan E., January 2006 (has links) (PDF)
Thesis (Ph.D.)--Washington State University, May 2006. / Includes bibliographical references (p. 340-363).

Interfuel substitution and the industrial demand for energy : an international comparison

Pindyck, Robert S January 1977 (has links)
Work supported by the RANN Division of the National Science Foundation under Grant #GSF SIA 75-00379.

Consumer choice of durables and energy demand

Hausman, Jerry A. 01 1900 (has links)
Research supported by the NSF, M.I.T. Energy Laboratory and EPRI.

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