Data mining applications in power systems — Case-studies and future trends

2009 ◽  
Author(s):  
Zita A. Vale ◽  
Carlos Ramos ◽  
Sergio Ramos ◽  
Tiago Pinto
Keyword(s):  
Data Mining ◽  
Power Systems ◽  
Case Studies ◽  
Future Trends

Advanced Statistical Tools for Improving Yield and Reliability

1999 ◽  
Author(s):  
Richard C. Kittler
Keyword(s):  
Data Mining ◽  
Analysis Data ◽  
Neural Nets ◽  
Future Trends ◽  
Statistical Tools ◽  
Mining Technology ◽  
Explanatory Variables ◽  
Data Coverage ◽  
Statistical Approaches ◽  
Adequate Data

Abstract Analysis of manufacturing data as a tool for failure analysts often meets with roadblocks due to the complex non-linear behaviors of the relationships between failure rates and explanatory variables drawn from process history. The current work describes how the use of a comprehensive engineering database and data mining technology over-comes some of these difficulties and enables new classes of problems to be solved. The characteristics of the database design necessary for adequate data coverage and unit traceability are discussed. Data mining technology is explained and contrasted with traditional statistical approaches as well as those of expert systems, neural nets, and signature analysis. Data mining is applied to a number of common problem scenarios. Finally, future trends in data mining technology relevant to failure analysis are discussed.

scholarly journals Series Compensation of Transmission Systems: A Literature Survey

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1717
Author(s):  
Camilo Andrés Ordóñez ◽  
Antonio Gómez-Expósito ◽  
José María Maza-Ortega
Keyword(s):  
Steady State ◽  
Power Systems ◽  
Power System ◽  
Case Studies ◽  
Electronic Devices ◽  
Literature Survey ◽  
Power Electronic ◽  
Transmission Systems ◽  
Series Compensation ◽  
Near Future

This paper reviews the basics of series compensation in transmission systems through a literature survey. The benefits that this technology brings to enhance the steady state and dynamic operation of power systems are analyzed. The review outlines the evolution of the series compensation technologies, from mechanically operated switches to line- and self-commutated power electronic devices, covering control issues, different applications, practical realizations, and case studies. Finally, the paper closes with the major challenges that this technology will face in the near future to achieve a fully decarbonized power system.

Assessing the Impact of E-Commerce on SMEs in Value Chains

2004 ◽  
pp. 180-198
Author(s):  
Judith Jeffcoate ◽  
Caroline Chappell ◽  
Sylvie Feindt
Keyword(s):  
Case Studies ◽  
Value Chain ◽  
Analytical Framework ◽  
Qualitative Approach ◽  
Future Trends ◽  
Multiple Case ◽  
Multiple Case Studies ◽  
The Impact ◽  
Chain Transformation ◽  
Specific Contribution

This chapter is intended as a contribution to the establishment of a theoretical foundation for the e-commerce field. Our specific contribution to methodology is through the description of a qualitative approach based on multiple case studies across industry and country boundaries. This has enabled us to propose an analytical framework that will identify the triggers for value chain transformation that will encourage SMEs to adopt e-commerce. The chapter describes seven elements that make up this framework, including the automation of value activity interactions between partners in the value chain. These elements form the basis for a discussion of future trends.

Critical and Future Trends in Data Mining

Data Mining ◽  
2011 ◽  
pp. 437-452 ◽  
Author(s):  
Jeffrey Hsu
Keyword(s):  
Data Mining ◽  
Business Education ◽  
Scientific Community ◽  
World Wide ◽  
Data Sources ◽  
Knowledge Discovery In Databases ◽  
Future Trends ◽  
Online Data ◽  
Usable Knowledge ◽  
The World

Every day, enormous amounts of information are generated from all sectors, whether it be business, education, the scientific community, the World Wide Web (WWW), or one of many readily available off-line and online data sources. From all of this, which represents a sizable repository of data and information, it is possible to generate worthwhile and usable knowledge. As a result, the field of Data Mining (DM) and knowledge discovery in databases (KDD) has grown in leaps and bounds and has shown great potential for the future (Han & Kamber, 2001). The purpose of this chapter is to survey many of the critical and future trends in the field of DM, with a focus on those which are thought to have the most promise and applicability to future DM applications.

Case Studies from the Inquiry Learning Forum

2010 ◽  
pp. 42-59
Author(s):  
Rebecca Scheckler
Keyword(s):  
Professional Development ◽  
Communities Of Practice ◽  
Community Of Practice ◽  
Case Studies ◽  
Inquiry Learning ◽  
Online Professional Development ◽  
Future Trends ◽  
Online Tool ◽  
Development Tool ◽  
Electronic Tool

Two intense case studies were done of teachers using the Inquiry Learning Forum (ILF), an online space for professional development in inquiry pedagogies. Major findings included: The ILF initially conceived as an online professional development tool in the form of a Community of Practice (COP) was reconceived as an electronic tool within a larger space that included the online tool but also many co-present spaces pertinent to a teacher’s practice of inquiry pedagogy. These case studies also demonstrated the transformative nature of teachers engaging in a COP. Not only is the teacher changed but also the COP is changed by the practice. The cases demonstrated the need for teachers to feel disequilibrium in their practice before they are willing to engage in change of those practices. Lastly immersion in practice described as The Pedagogy of Poverty hampered one teacher’s progress in the ILF. These findings are based upon my empirical observations with the backdrop of John Dewey’s Theory of Inquiry and of Etienne Wenger’s concept of communities of Practice. Future trends in using online COPs for professional development need to look at practice in these terms where allowance for transaction, support outside the electronic space, and disequilibrium are considered.

Decision-Making Methods in MIS Outsourcing

2011 ◽  
pp. 134-152
Author(s):  
Jeanette Nasem Morgan
Keyword(s):  
Data Mining ◽  
Decision Making ◽  
Fuzzy Logic ◽  
Case Studies ◽  
Cost Benefit ◽  
Information Services ◽  
Data Warehouses ◽  
Government Decision ◽  
Trade Offs ◽  
Decision Making Processes

This chapter commences with a discussion of corporate and government decision-making processes and the management sciences that support development of decisions. Special decision-making considerations, trade-offs analyses, and cost-benefit studies all figure into decisions that result in outsourcing. Technologies that support different methods of decision-making include data warehouses and data mining, rules-based logic, heuristical processes, fuzzy logic, and expert-based reasoning are presented. The chapter presents case studies and current and evolving technologies. The following sections will address the decision-making methods that are used in considering, executing and monitoring outsourced MIS projects or in service lines related to provision of information services in the organization.

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