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Consider a microgrid with a hybrid collection of distributed energy resources (DERs) that include fossil, renewables and energy storage battery systems. Given the dynamic variability of the DERs in terms of power production, this paper presents an optimization approach for the optimal power dispatch in such a hybrid microgrid by taking into account amplitude and rate constraints on each DER. The constrained...
Shingled Magnetic Recording (SMR) drives have been commercialized in recent years to provide high density and large capacity data storage. However, due to their append-only write property, the data update is usually handled through a log-structured manner, which causes old data to become invalid and dirty. Garbage collection (GC) methods are therefore introduced to clean the dirty data to release...
In order to optimize power consumption in the network, techniques to adjust the link capacity to the demand has been proposed recently. These techniques are known as Adaptive Link Rate (ALR). This paper proposes that is feasible to establish an appropriate link rate to transport one or more flows efficiently, in terms of power consumption without impacting performance, in a network with a limited...
Time-of-use price is the main measure of demand side response in China, which can alleviate several issues, including large difference between peak load and low utilization of equipment etc. In order to enhance user's response of achieving the optimal staggering power consumption effect, this paper aims to solve the urgent problem of how to establish reasonable Time-of-use price scheme. In this paper,...
Neural network based deep learning algorithm is a study hotspot in artificial intelligence. Moreover, embedded artificial intelligence and mobile computing are becoming more and more important in industry. For these applications, not only high performance computing is required, but also low power consumption restriction cannot be ignored. DSP has special hardware architecture with characteristics...
The energy management is one of the most important issues for the efficiency and performance of the hybrid vehicular power system, including the Lithium-ion battery and Ultra-Capacitor. This paper deals with a dynamic programming based optimal control strategy proposed for the hybrid vehicular power system. The proposed method utilizes the capability of dynamic programming to treat the global optimization...
To satisfy various quality-of-service (QoS) requirements of different services in future fifth generation wireless networks, wireless virtualized network (WVN) architectures have been proposed to concurrently fulfill diversified service demands via network slicing technologies. Considering the dynamic characteristics of wireless channels and user traffic, the resource allocation problem in a WVN with...
Fog Radio Access Network(F-RAN) is a promising technique for the fifth generation mobile communication system to provide high spectral and energy efficiency. In comparison with Cloud Radio Access Network, the Radio Units in F-RAN are equipped with local caches, which store popular content. In this paper, we investigate joint cooperative beamforming and radio units (RUs) operation in F-RAN system to...
In this paper, we study the energy-efficient user access control (UAC) based on resource allocation (RA) in heterogeneous cellular networks (HCNs) with the required downlink data rate under non-ideal power amplifiers (PAs) and circuit power. It is proved that the energy consumption minimization is achieved when the typical user accesses only one base station (BS), while the other BSs remain in idle...
An incentive design method is proposed for incentive-based demand response programs targeting residential consumers. Consumers are modelled as decision-makers and their models represent, unlike existing models, dynamical nature of power consumption behaviors. The design is done based on inverse optimization. The degree of freedom that exists in the solution can be effectively utilized to make the...
Energy efficiency has gradually become an important factor for improving the user experience of smartphones. Many background applications continue to consume energy without users' awareness, because these applications use wakelock to prevent the device from going to sleep state, while such misused will cause no-sleep bugs. In this paper, a framework for sensing wakelock application and mining users'...
It is necessary to optimize the energy-efficient (EE) performance for millimeter-wave (mmWave) wireless systems, since the power consumption problem becomes increasingly crucial at high frequency bands. In hybrid precoding mmWave systems, the EE-oriented optimized elements include the analog and digital precoders at the transmitter, the analog and digital combiners at the receiver, as well as the...
Demand response (DR) can offer various benefits depending on the purpose of the use. In this paper, DR is deployed to curtail peak loads, and we propose the methodology to determine DR pricing for Thailand electricity market. The optimal DR interval pricing is determined to maximize benefits of utility and DR participants for different DR scheduling times. The numerical results show that the prices...
In this paper, we propose a sparse beamforming based energy efficiency (EE) maximization problem for multi-user distributed antenna systems (DASs). In DAS, the power consumption of remote antenna units (RAUs) and corresponding backhaul links have an important influence on the whole network efficiency. Hence this paper addresses RAU selection. We select optimal RAUs and corresponding backhaul links...
This paper mainly presents a design of optimized (15, 4) parallel counter. When testing the design with 15 rows of inputs, synthesis report of our design performs better in respect of delay, area and power consumption than other two existing design. This result shows that processes such as partial product reduction in a multiplier or column-addition in a matrix could be more efficient, especially...
The future 5G networks need to support different kinds of business and applications, so the cloud radio access networks (C-RAN) which can provide a centralized collaborative resource management gain through small base stations, and seamless handoff also can be achieved through the overlapping deployment of macro base stations and micro base stations has become one of the important directions in 5G...
This paper introduces a real-time energy management strategy for hybrid electric vehicles (HEVs), called as RB-ECMS, which combines rule-based (RB) control and equivalent consumption minimization strategy (ECMS). Three working modes of the HEVs, motor/engine separately propelling the vehicle, and motor and engine jointly propelling the vehicle, is first divided by the rule-based control, and while...
Approximate computing introduces a new era of low-power and high-speed circuit designs. Instead of strict accurate computation, relaxed requirements might increase performance and reduce power consumption with a simplified or inaccurate circuit. One of the recent remarkable research efforts is the accuracy-configurable approximate adder designs, which can gracefully operate in both approximate (inaccurate)...
Due to the rapid development of intelligent lighting technologies, those intelligences, just like smooth dimming control, communication and networking, lumen control, predictive failure and maintenance, daylight harvesting, etc., which offers us a opportunity to incorporate non-traditional capabilities into our lighting design and makes the intelligent lighting solutions more attractive. Nowadays,...
Cloud computing providers must support requests for resources in dynamic environments, considering service elasticity and overbooking of physical resources. Due to the randomness of requests, Virtual Machine Placement (VMP) problems should be formulated under uncertainty. In this context, a renewed formulation of the VMP problem is presented, considering the optimization of four objective functions:...
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