“…The goal of the proposed technique is to provide continued service, at possibly reduced power consumption levels, during power shortages. In [30], communication methodologies amongst control devices in home automation systems are demonstrated. Specifically, communication over a power line is presented to enable control of appliances in building/home energy management systems.…”
Section: Background On Demand Response (Dr) and Demand Side Managemenmentioning
With the exploding power consumption in private households and increasing environmental and regulatory restraints, the need to improve the overall efficiency of electrical networks has never been greater. That being said, the most efficient way to minimize the power consumption is by voluntary mitigation of home electric energy consumption, based on energy-awareness and automatic or manual reduction of standby power of idling home appliances. Deploying bi-directional smart meters and home energy management (HEM) agents that provision real-time usage monitoring and remote control, will enable HEM in “smart households.” Furthermore, the traditionally inelastic demand curve has began to change, and these emerging HEM technologies enable consumers (industrial to residential) to respond to the energy market behavior to reduce their consumption at peak prices, to supply reserves on a as-needed basis, and to reduce demand on the electric grid. Because the development of smart grid-related activities has resulted in an increased interest in demand response (DR) and demand side management (DSM) programs, this paper presents some popular DR and DSM initiatives that include planning, implementation and evaluation techniques for reducing energy consumption and peak electricity demand. The paper then focuses on reviewing and distinguishing the various state-of-the-art HEM control and networking technologies, and outlines directions for promoting the shift towards a society with low energy demand and low greenhouse gas emissions. The paper also surveys the existing software and hardware tools, platforms, and test beds for evaluating the performance of the information and communications technologies that are at the core of future smart grids. It is envisioned that this paper will inspire future research and design efforts in developing standardized and user-friendly smart energy monitoring systems that are suitable for wide scale deployment in homes.
“…The goal of the proposed technique is to provide continued service, at possibly reduced power consumption levels, during power shortages. In [30], communication methodologies amongst control devices in home automation systems are demonstrated. Specifically, communication over a power line is presented to enable control of appliances in building/home energy management systems.…”
Section: Background On Demand Response (Dr) and Demand Side Managemenmentioning
With the exploding power consumption in private households and increasing environmental and regulatory restraints, the need to improve the overall efficiency of electrical networks has never been greater. That being said, the most efficient way to minimize the power consumption is by voluntary mitigation of home electric energy consumption, based on energy-awareness and automatic or manual reduction of standby power of idling home appliances. Deploying bi-directional smart meters and home energy management (HEM) agents that provision real-time usage monitoring and remote control, will enable HEM in “smart households.” Furthermore, the traditionally inelastic demand curve has began to change, and these emerging HEM technologies enable consumers (industrial to residential) to respond to the energy market behavior to reduce their consumption at peak prices, to supply reserves on a as-needed basis, and to reduce demand on the electric grid. Because the development of smart grid-related activities has resulted in an increased interest in demand response (DR) and demand side management (DSM) programs, this paper presents some popular DR and DSM initiatives that include planning, implementation and evaluation techniques for reducing energy consumption and peak electricity demand. The paper then focuses on reviewing and distinguishing the various state-of-the-art HEM control and networking technologies, and outlines directions for promoting the shift towards a society with low energy demand and low greenhouse gas emissions. The paper also surveys the existing software and hardware tools, platforms, and test beds for evaluating the performance of the information and communications technologies that are at the core of future smart grids. It is envisioned that this paper will inspire future research and design efforts in developing standardized and user-friendly smart energy monitoring systems that are suitable for wide scale deployment in homes.
“…For the realization of proper functionality, a sufficiently high number of sensors and actuators are required. These components need to be interconnected and communicate in a reliable, secure, and timely fashion (see approaches in, e.g., [9], [36], and [37]). The amount of data to be transmitted is fortunately quite small-in the case of simple sensors in the range of some bytes every 10 min.…”
Abstract-Building automation (BA) and smart homes (SHs) have traditionally not been a unified field but varied by their origins, legal foundations, different applications, different goals, and national funding programs for basic research. Only within the last years that an international common focus appeared. The following overview gives not only an introduction into the topic of BA but also the distinction to other areas of automation, in which networks of the field level (the sensor and actuator level) play an important role. Finally, the scientific challenges will be mentioned. SHs are referred to when the differences to BA have to be explicitly stressed. This paper is an introduction for the special IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS section on BA and shall introduce the reader to this new topic. BA not only has a huge economic potential but also is of significant academic interest today.
“…Chaotic sequence solves this problem perfectly, which suffer from truncation effect [4] . The chaotic sequence can be generated by piecewise linear mapping [5] and generalized chaos mapping [6] , the method generating binary sequences is improved [7] but having inadequate secrecy as single chaos mapping.…”
a novel approach of generating composite chaotic spread spectrum sequence is proposed. This algorithm creates the spread spectrum sequence by quantifying the multiplication result of two independent chaos sequences, such as the Tent chaos sequence. The frequency response and noise characteristics of power line communication (PLC) channel are researched, in order to build the typical channel model of PLC. Experimental result shows that the direct sequence spread spectrum (DSSS) system using the composite chaotic sequence generated by the proposed algorithm, can guarantee the same BER on the condition that its SNR is 3dB lower than the DSSS system using single sequence. Key word: composite chaos sequence; direct sequence spread spectrum (DSSS); power line communication(PLC)
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.