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In the process of data collection of large-scale delay tolerant mobile wireless sensor networks (MWSN), in order to reduce the energy consumption of sensor network data transmission, time consuming and low efficiency problems, a data fusion algorithm for mobile wireless sensor networks based on improved RBF neural network is proposed. The data fusion model is introduced into the RBF neural network...
Many industries are applying various methods for optimizing energy use across the manufacturing life cycle. These methods are either physics-based or data-driven. Manufacturing systems generate a vast amount of data from operations and in simulations. Advances in data collection systems and data analytics (DA) tools have enabled the development of predictive analytics for energy prediction. Many of...
It is very significant for us to predict future energy consumption accurately. As for China's energy consumption annual time series, the sample size is relatively small. This study combines the traditional auto-regressive model with group method of data handling (GMDH) suitable for small sample prediction, and proposes a novel GMDH based auto-regressive (GAR) model. This model can finish the modeling...
The reliability and availability of the metering system plays a crucial part in the gas transportation system because it affects the billing integrity between the gas supplier and their customers. A slight error in measurement will lead to significant monetary impact. Therefore, the challenge lies in building an online verification system that is able to check the accuracy of instruments in the metering...
Aiming at the problems of increasing energy consumption of cloud storage, big environmental resources pressure, exist research on replica placement lacking of focus on energy consumption, this paper proposes a energy conservation replica placement method ECRP(Energy Conservation Replica Placement, ECRP). Based on the three main different levels of energy consumption of hardware components, the data...
Due to the increasing cost of energy and the demand of reducing the environmental footprints, energy saving is becoming an important subject in the industry operation. To realize the energy consumption optimization of papermaking, the energy model should be established while the product quality and process model also need to be constructed, which are taken as the constraints for optimization. This...
Total losses in transmission and distribution (T&D) of electrical energy including nontechnical losses (NTL) are huge and are affecting the good interest of utility company and its customers. In this context, importance of customer load profile evaluation for detection of illegal consumers is explained in this paper. Classification of the customers based on load profile evaluation using SVMLIB...
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