Development of an integrated Grey–fuzzy-based electricity management system for enterprises

Yao, Albert W.L.; Chi, Shou-Wei; Chen, C.K.

doi:10.1016/j.energy.2005.02.001

Cited by 39 publications

(13 citation statements)

References 9 publications

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“…Dong [11] has forecasted energy demand of China for the next 25 years using GP. Yao et al [12] proposed an integrated grey-fuzzy based electricity management for enterprises. Yao and Chi [13] developed taguchi-grey based predictor to forecast the demand value of electricity on line.…”

Section: Introductionmentioning

confidence: 99%

Grey prediction with rolling mechanism for electricity demand forecasting of Turkey

Akay

Atak

2007

Energy

387

167

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Section: Introductionmentioning

confidence: 99%

Grey prediction with rolling mechanism for electricity demand forecasting of Turkey

Akay

Atak

2007

Energy

387

167

View full text Add to dashboard Cite

“…To make the grey forecasting model more adaptive and precise, some studies have developed improved residual sign estimators for the GM(1,1) model. Many scholars have worked diligently, to propose hybrid grey models that incorporate the grey prediction theory and theories or discourses in other fields of algorithm, in order to enhance the forecasting precision [14,20,21,22,23,24,25,26,27]. The above research results play an important role in promoting the development of grey system theory.…”

Section: Methodsmentioning

confidence: 99%

Time Prediction Models for Echinococcosis Based on Gray System Theory and Epidemic Dynamics

Zhang

Wang

Zheng

et al. 2017

IJERPH

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Echinococcosis, which can seriously harm human health and animal husbandry production, has become an endemic in the Xinjiang Uygur Autonomous Region of China. In order to explore an effective human Echinococcosis forecasting model in Xinjiang, three grey models, namely, the traditional grey GM(1,1) model, the Grey-Periodic Extensional Combinatorial Model (PECGM(1,1)), and the Modified Grey Model using Fourier Series (FGM(1,1)), in addition to a multiplicative seasonal ARIMA(1,0,1)(1,1,0)4 model, are applied in this study for short-term predictions. The accuracy of the different grey models is also investigated. The simulation results show that the FGM(1,1) model has a higher performance ability, not only for model fitting, but also for forecasting. Furthermore, considering the stability and the modeling precision in the long run, a dynamic epidemic prediction model based on the transmission mechanism of Echinococcosis is also established for long-term predictions. Results demonstrate that the dynamic epidemic prediction model is capable of identifying the future tendency. The number of human Echinococcosis cases will increase steadily over the next 25 years, reaching a peak of about 1250 cases, before eventually witnessing a slow decline, until it finally ends.

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“…Greenwald presented Monitoring, Targeting and Reporting (MT&R) as a Demand Side Management program [6]. Yao et al [7], [8] developed an integrated Grey-fuzzy-based electricity management system for enterprises and a Taguchi-Grey based predictor to forecast the demand value of electricity on line.…”

Section: Energy Management Systemsmentioning

confidence: 99%

Implementation of an Energy Usage Optimization System on a Pharmaceutical Company

Nyanga¹,

Af²,

Mhlanga³

et al. 2012

760: 761: 762: 763: The IASTED 2012 African Conferences

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Companies in this era are under severe competition due to globalization and in order to sustain a competitive edge they need to adopt appropriate manufacturing systems that address optimum utilisation of machinery and energy. This will result in reduction of production costs and make the companies competitive. The paper shows attempts to improve Energy Usage at a Pharmaceutical industry using monitoring and targeting techniques. An audit in a company was done so as to get the energy consumption trends and to find opportunities for energy savings. An ABC analysis of energy cost savings for machinery in the plant was made. A monitoring and targeting system was then developed to increase awareness of energy consumed.

show abstract

Development of an integrated Grey–fuzzy-based electricity management system for enterprises

Cited by 39 publications

References 9 publications

Grey prediction with rolling mechanism for electricity demand forecasting of Turkey

Grey prediction with rolling mechanism for electricity demand forecasting of Turkey

Time Prediction Models for Echinococcosis Based on Gray System Theory and Epidemic Dynamics

Implementation of an Energy Usage Optimization System on a Pharmaceutical Company

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