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Electrical Power Systems Technology

Low Power Circuit Design Using Advanced CMOS Technology

Low Power Circuit Design Using Advanced CMOS Technology

Low Power Circuit Design Using Advanced CMOS Technology is a summary of lectures from the first Advanced CMOS Technology Summer School (ACTS) 2017. The slides are selected from the handouts while the text was edited according to the lecturers talk. ACTS is a joint activity supported by the IEEE Circuit and System Society (CASS) and the IEEE Solid-State Circuits Society (SSCS). The goal of the school is to provide society members as well researchers and engineers from industry the opportunity to learn about new emerging areas from leading experts in the field. ACTS is an example of high-level continuous education for junior engineers teachers in academe and students. ACTS was the results of a successful collaboration between societies the local chapter leaders and industry leaders. This summer school was the brainchild of Dr. Zhihua Wang with strong support from volunteers from both the IEEE SSCS and CASS. In addition the local companies Synopsys China and Beijing IC Park provided support. This first ACTS was held in the summer 2017 in Beijing. The lectures were given by academic researchers and industry experts who presented each 6-hour long lectures on topics covering process technology EDA skill and circuit and layout design skills. The school was hosted and organized by the CASS Beijing Chapter SSCS Beijing Chapter and SSCS Tsinghua Student Chapter. The co-chairs of the first ACTS were Dr. Milin Zhang Dr. Hanjun Jiang and Dr. Liyuan Liu. The first ACTS was a great success as illustrated by the many participants from all over China as well as by the publicity it has been received in various media outlets including Xinhua News one of the most popular news channels in China.

GBP 94.99
1

FM-UWB Transceivers for Autonomous Wireless Systems

Applications of Big Data and Artificial Intelligence in Smart Energy Systems Volume 2 Energy Planning Operations Control and Market Perspectives

Applications of Big Data and Artificial Intelligence in Smart Energy Systems Volume 2 Energy Planning Operations Control and Market Perspectives

In the era of propelling traditional energy systems to evolve towards smart energy systems including power generation energy storage systems and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles and domestic & industrial loads. Similarly with the integration of solid state devices renewable sources and distributed generation power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting including load distribution automation energy regulation and control and energy trading. This book covers the applications of various big data analytics artificial intelligence and machine learning technologies in smart grids for demand prediction decision-making processes policy and energy management. The book delves into the new technologies such as the Internet of Things blockchain etc. for smart home solutions and smart city solutions in depth in the context of the modern power systems. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI business models. | Applications of Big Data and Artificial Intelligence in Smart Energy Systems Volume 2 Energy Planning Operations Control and Market Perspectives

GBP 99.99
1

Electrical Distribution Systems

Lowering Your Facility’s Electric Rates

Modulation Theory

Modulation Theory

In recent years a considerable amount of effort has been devoted both in industry and academia towards the design performance analysis and evaluation of modulation schemes to be used in wireless and optical networks towards the development of the next and future generations of mobile cellular communication systems. Modulation Theory is intended to serve as a complementary textbook for courses dealing with Modulation Theory or Communication Systems but also as a professional book for engineers who need to update their knowledge in the communications area. The modulation aspects presented in the book use modern concepts of stochastic processes such as autocorrelation and power spectrum density which are novel for undergraduate texts or professional books and provides a general approach for the theory with real life results applied to professional design. This text is suitable for the undergraduate as well as the initial graduate levels of Electrical Engineering courses and is useful for the professional who wants to review or get acquainted with the a modern exposition of the modulation theory. The books covers signal representations for most known waveforms Fourier analysis and presents an introduction to Fourier transform and signal spectrum including the concepts of convolution autocorrelation and power spectral density for deterministic signals. It introduces the concepts of probability random variables and stochastic processes including autocorrelation cross-correlation power spectral and cross-spectral densities for random signals and their applications to the analysis of linear systems. This chapter also includes the response of specific non-linear systems such as power amplifiers. The book presents amplitude modulation with random signals including analog and digital signals and discusses performance evaluation methods presents quadrature amplitude modulation using random signals. Several modulation schemes are discussed including SSB QAM ISB C-QUAM QPSK and MSK. Their autocorrelation and power spectrum densities are computed. A thorough discussion on angle modulation with random modulating signals along with frequency and phase modulation and orthogonal frequency division multiplexing is provided. Their power spectrum densities are computed using the Wiener-Khintchin theorem.

GBP 35.99
1

iURBAN Intelligent Urban Energy Tool

iURBAN Intelligent Urban Energy Tool

iURBAN: Intelligent Urban Energy Tool introduces an urban energy tool integrating different ICT energy management systems (both hardware and software) in two European cities providing useful data to a novel decision support system that makes available the necessary parameters for the generation and further operation of associated business models. The business models contribute at a global level to efficiently manage and distribute the energy produced and consumed at a local level (city or neighbourhood) incorporating behavioural aspects of the users into the software platform and in general prosumers. iURBAN integrates a smart Decision Support System (smartDSS) that collects real-time or near real-time data aggregates analyses and suggest actions of energy consumption and production from different buildings renewable energy production resources combined heat and power plants electric vehicles (EV) charge stations storage systems sensors and actuators. The consumption and production data is collected via a heterogeneous data communication protocols and networks. The iURBAN smartDSS through a Local Decision Support System allows the citizens to analyse the consumptions and productions that they are generating receive information about CO2 savings advises in demand response and the possibility to participate actively in the energy market. Whilst through a Centralised Decision Support System allow to utilities ESCOs municipalities or other authorised third parties to: Get a continuous snapshot of city energy consumption and productionManage energy consumption and productionForecasting of energy consumptionPlanning of new energy producers for the future needs of the cityVisualise analyse and take decisions of all the end points that are consuming or producing energy in a city level permitting them to forecast and planning renewable power generation available in the city. | iURBAN Intelligent Urban Energy Tool

GBP 64.99
1

Dielectric Materials for Energy Storage and Energy Harvesting Devices

Linear Electronics