30. Ergonomics Intervention in Warehousing: Electric Utility Case Study

1999 ◽  
Author(s):  
J.R. Wilzbacher
Keyword(s):  
Electric Utility

An Approach to Using Ontologies for the Development of High Quality Disaster Recovery Plans

2010 ◽  
Vol 2 (2) ◽  
pp. 35-53
Author(s):  
Lila Rao ◽  
Maurice McNaughton ◽  
Kweku-Muata Osei-Bryson ◽  
Manley Haye
Keyword(s):  
Disaster Recovery ◽  
Electric Utility ◽  
High Quality ◽  
Utility Company ◽  
Multidimensional Concept

Disasters have the potential to cripple a country and those countries that are particularly susceptible to disasters must have effective disaster recovery plans (DRP) in place to ensure that the country can return to normalcy as soon as possible after the devastation. However, for the plan to be effective it must be of high quality, which is often viewed as a multidimensional concept containing essential factors for DRP, such as consistency, completeness, reliability and feasibility. Therefore, any methodology for the development of DRP must take these dimensions into account as their affect on quality is considerable. In this regard, the authors describe a quality based methodology for the development of DRP, including a methodology that makes use of ontologies containing properties that are suited to the development of these high quality plans. The applicability of the proposed methodology will be demonstrated through a case study of an electric utility company in Jamaica.

An Approach to Using Ontologies for the Development of High Quality Disaster Recovery Plans

2012 ◽  
pp. 104-121
Author(s):  
Lila Rao ◽  
Maurice McNaughton ◽  
Kweku-Muata Osei-Bryson ◽  
Manley Haye
Keyword(s):  
Disaster Recovery ◽  
Electric Utility ◽  
High Quality ◽  
Utility Company ◽  
Multidimensional Concept

Disasters have the potential to cripple a country and those countries that are particularly susceptible to disasters must have effective disaster recovery plans (DRP) in place to ensure that the country can return to normalcy as soon as possible after the devastation. However, for the plan to be effective it must be of high quality, which is often viewed as a multidimensional concept containing essential factors for DRP, such as consistency, completeness, reliability and feasibility. Therefore, any methodology for the development of DRP must take these dimensions into account as their affect on quality is considerable. In this regard, the authors describe a quality based methodology for the development of DRP, including a methodology that makes use of ontologies containing properties that are suited to the development of these high quality plans. The applicability of the proposed methodology will be demonstrated through a case study of an electric utility company in Jamaica.

DEEP CONVOLUTIONAL NEURAL NETWORKS FOR IMAGE CLASSIFICATION: A CASE STUDY IN AN ELECTRIC UTILITY WAREHOUSE

2021 ◽  
Author(s):  
Paulo Piratelo ◽  
Rodrigo Negri de Azeredo ◽  
Eduardo Yamao ◽  
Gabriel Maidl ◽  
Rafael Martini Silva ◽  
...  
Keyword(s):  
Neural Networks ◽  
Image Classification ◽  
Convolutional Neural Networks ◽  
Electric Utility ◽  
Deep Convolutional Neural Networks

Estimation of the Energy Consumption of an Electric Utility Vehicle: A Case Study

2021 ◽  
pp. 257-272
Author(s):  
Gianina Garrido-Silva ◽  
Jessica Gissella Maradey-Lazaro ◽  
Arly Dario Rincón-Quintero ◽  
Omar Lengerke-Pérez ◽  
Camilo Leonardo Sandoval-Rodriguez ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Electric Utility ◽  
Utility Vehicle

scholarly journals Benefits of a Demand Response Exchange Participating in Existing Bulk-Power Markets

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3361 ◽  
Author(s):  
Venkat Durvasulu ◽  
Timothy Hansen
Keyword(s):  
Demand Response ◽  
Power Market ◽  
Electric Utility ◽  
Energy Markets ◽  
Power Markets ◽  
High Price ◽  
Test Case ◽  
Market Prices ◽  
Bulk Power

In most U.S. market sponsored demand response (DR) programs, revenue earned from energy markets has been relatively low compared to DR used for capacity markets and ancillary services. This paper presents an aggregated DR model participating in the bulk-power market as a service through a pool-based entity called demand response exchange (DRX). Using the DRX structure, DR providers can participate in energy markets as a service to benefit bulk-power market entities. The benefits and challenges to each market entity using DR-as-a-service are presented in an extended review. The DRX model in this study is a market entity that operates with the day-ahead market to select DR offers that minimize electric utility payments. A case study was performed using the proposed DRX model on the IEEE 24-bus system, augmented to represent actual bulk-power market prices to study factors that influence utility payments under the DRX-market paradigm. Two high-price days of the PJM market were simulated, and it was shown for a single day on the augmented test case that spending $69,955 for DR-as-a-service results in a reduction of utility payments of $864,199. The day-ahead generator supply curve, network congestion, and DR curtailment were found to be the most influencing factors that impact the benefit of using DR-as-a-service.

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