Automatic Tiered Warehouse Storage System Capacity Based on Random Probability

ICTE 2011 ◽  
2011 ◽  
Author(s):  
Hong Gu ◽  
Weihua Xu ◽  
Ping Zou ◽  
Wei Cui
Keyword(s):  
Storage System ◽  
System Capacity ◽  
Warehouse Storage ◽  
Random Probability

EIS for Consumers Classification and Support Decision Making in a Power Utility Database

2011 ◽  
pp. 103-118
Author(s):  
Juan Ignacio Guerrero Alonso ◽  
Carlos León de Mora ◽  
Félix Biscarri Triviño ◽  
Iñigo Monedero Goicoechea ◽  
Jesús Biscarri Triviño ◽  
...  
Keyword(s):  
New Technologies ◽  
Storage System ◽  
System Capacity ◽  
Access Time ◽  
Enterprise Information System ◽  
Enterprise Information ◽  
Power Utility ◽  
Enterprise Information Systems ◽  
Automatic Treatment

The increasing of the storage system capacity and the reduction of the access time have allowed the development of new technologies which have afforded solutions for the automatic treatment of great databases. In this chapter a methodology to create Enterprise Information Systems which are capable of using all information available about customers is proposed. As example of utilization of this methodology, an Enterprise Information System for classification of customer problems is proposed. This EIS implements several technologies. Data Warehousing and Data Mining are two technologies which can analyze automatically corporative databases. Integration of these two technologies is proposed by the present work together with a rule based expert system to classify the utility consumption through the information stored in corporative databases.

Wind/Storage System Capacity Configuration Research Based on the Benefits of Energy Saving and Emission Reduction

2013 ◽  
Vol 291-294 ◽  
pp. 636-641
Author(s):  
Jian Lin Li ◽  
Xiong Xiong ◽  
Shui Li Yang
Keyword(s):  
Energy Storage ◽  
Energy Saving ◽  
Emission Reduction ◽  
Storage System ◽  
Energy Storage System ◽  
Energy Utilization ◽  
System Capacity ◽  
Benefit Evaluation ◽  
System Energy ◽  
Nested Genetic Algorithm

Rational configuration of energy storage system is an effective means to improve power system energy utilization and solve the bottleneck problem of wind power. To energy saving and emission reduction as study object, analyse energy storage system energy saving and emission reduction benefit evaluation index. Establish the wind/storage system benefit evaluation model to calculate wind/storage optimum matching capacity used nested genetic algorithm. The calculated results show that the wind/storage system with reasonable configuration can improve the social benefits of energy saving and emission reduction.

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