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Energy forecast is essential for a good planning of the electricity consumption as well as for the implementation of decision support systems which can lead the decision making process of energy system. Energy consumption time series prediction problems represent a difficult type of predictive modelling problem due to the existence of complex linear and non-linear patterns. This paper presents two...
The paper is devoted to the issue of energy efficiency monitoring in industry. The drawbacks of well-known statistical method based on Monitoring and Targeting systems are considered. An improved procedure of energy efficiency monitoring for industrial objects has been proposed. Appropriate procedure is based on the statistical modelling of energy consumption, including confidence intervals of mathematical...
This paper presents an optimization framework to maximize the lifetime of wireless sensor networks for structural health monitoring with and without energy harvesting. We develop a mathematical model and formulate the problem as a large-scale mixed integer non-linear programming problem. We also propose a solution based on the Branch-and-Bound algorithm augmented with reducing the search space. The...
The issue of energy efficiency monitoring in industry has been analyzed. The methodology of widely used statistical method of energy efficiency monitoring “Monitoring and Targeting systems” investigated in the paper. The critical disadvantages of Monitoring and Targeting systems were highlighted. In order to eliminate the disadvantages of Monitoring and Targeting systems authors propose apply probabilistic-statistical...
Reducing the power consumption of the internet backbone networks is one of the major challenges in computer networks because of high energy cost and environmental issues. SDN is the promising technology that enables fine grain control of network traffic. In this paper, we propose a novel traffic management and routing framework, called SDGTE (Software Defined Green Traffic Engineering), that minimizes...
Investigating novel techniques to improve many-core embedded systems lifetime, reliability, and thermal management is a fundamental challenge for the semiconductor industry. Imbalanced mapping of applications may considerably affect the system performance and lifetime due to thermal issues in an integrated circuit (e.g. hotspot zones). Traditional mapping techniques focus on local optimizations, e...
The use of mobile devices for work and for entertainment is growing. However, some applications may consume too much battery or be too CPU intensive for those devices. One alternative is to dynamically offload parts of the computation of those applications to the Cloud, reducing the battery usage of the devices and improve the responsiveness of the applications. One of the biggest challenges in offloading...
Wireless Sensor Network (WSN) consists of hundreds of sensor nodes, which are tiny, low cost, low power radio devices. These nodes are dedicated to perform certain functions such as sensing the environment, collecting the sensed data from the surrounding area, processing those data and send the information to the observer. One of the major challenges in WSN is to cover the desired area which is used...
Monitoring large supply networks can be efficiently performed by employing active radio-frequency identification (a-RFID) sensors. Relay nodes collect and process workflow information from the sensors. The knowledge derived from the collected information is periodically communicated to monitors using onboard energy sources. Energy can be saved by communicating with closer monitors. In this setup,...
Commercial buildings consume a considerable amount of the world's energy and this can be substantially reduced through strategic monitoring and optimization of their energy consumption. Hence, monitoring and managing the available electrical power is a very important part of conserving energy resources, reducing greenhouse gas emissions and cutting down energy expenses. An attempt has been made to...
LTE Device-to-device (D2D) discovery and communication has been considered a means to allow capacity offloading, range extension as well as commercial proximity services such as advertisement or social networking. Within this context, several service discovery approaches may be envisioned. In this paper, we study strategies which rely on a central function supporting service discovery between LTE...
This paper addresses the design of an on-off control strategy for operating robots in a cyclic flow shop plant. The main goal is to properly switch off and on the robots to save energy consumption without any reduction of the plant desired throughput. To fulfill this goal, first mathematical conditions, which characterize movement of parts in the plant and the on-off control for robots, are presented...
The timely detection of abnormal energy usage is one of the major ad-hoc techniques to optimize energy efficiency. Typically an alarm is triggered either by a significant drift from the baseline consumption level or by a period of large variations. In this paper we propose a statistical predictive method for detecting anomalies both in mean and in variation. The criterion behind is based on the prediction...
Recently, wireless sensor networks are more and more used in smart building applications, due to their capability to collect data on all phenomena that happens in the building. The most important problem related to this kind of networks, is the limited lifetime of nodes, caused by their finite embedded source of energy (batteries). In order to reduce the impact of this problem, proper node model must...
In this paper, we present our work in the area of Cyber Foraging (CF), which enables mobile devices to offload heavy computations to resourceful computing nodes. The main focus of the paper is to minimize the total energy consumption across all the mobile devices in a large Cyber Foraging System (CFS). We use a centralized architecture where a broker node handles the task scheduling. We model the...
Building Energy Management Systems (BEMS) have been introduced in the built environment as a mechanism to increase the energy efficiency while maintaining the required comfort levels. BEMS also offers promising flexibility for Demand Side Management and Demand Responses (DSM&DR) to interact with Smart Grids. Through the use of intelligent control techniques, BEMS can be optimized to exploit the...
This paper presents a method to detect gradual deterioration of behavior in discrete manufacturing pieces of equipment dedicated to transportation of parts between the processing workstations. Monitored energy patterns are correlated with workload data (number of pallets occupying conveyor segments at a time). Detection of gradual conveyor misalignment relies on checking whether the output of a rule...
We present an energy efficient sensor manager for differentiated coverage of dynamic object group changing their positions with time. The information about the location of the object group is provided to the sensor manager. The manager invokes optimization algorithm whenever the obtained coverage falls below a threshold to sleep schedule the sensor network. Multi-objective Optimization (MO) algorithms...
According to our previous study, it is believed that ultrafiltration with polyethersulfone (PES) flat-sheet membrane is suitable for the concentration process of alkaline peroxide mechanical pulping (APMP) plant's effluent. So we scaled up the concentrating experiment to a pilot-scale. Specifically, the cross flow velocity and volume reduction factor were optimized again for a higher flux and a lower...
As the pattern of production of Liaohe oilfield is re-adjusted, the proportion of heavy and super heavy oil has become higher and higher. Rheological property of super heavy oil is complex. And the flow quality of super heavy oil is poor. Its viscosity is very high even at normal temperature. When super heavy oil flows in a pipeline, the flow pattern is usually laminar flow. The friction resistance...
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