When selecting a book for in-depth knowledge of electrical machines, it is important to consider the content, author's expertise, level of detail, relevance to your specific field, and reviews from other readers.
One highly recommended book for beginners is "Electric Machinery Fundamentals" by Stephen J. Chapman. It provides a comprehensive introduction to the principles and applications of electrical machines.
A great book for advanced learners is "Electric Machines: Theory, Operation, Applications, Adjustment, and Control" by Charles I. Hubert. It covers advanced topics such as modeling, control, and optimization of electrical machines.
"Electric Machines and Drives: Principles, Control, Modeling and Simulation" by Shaahin Filizadeh covers the latest developments and advancements in electrical machines, including renewable energy applications and power electronics control.
Dwarkadas Prahladadas Kothari (born 7 October 1944)[1] is an educationist and professor who has held leadership positions at engineering institutions in India including IIT Delhi, Visvesvaraya National Institute of Technology, Nagpur and VIT University, Vellore. Currently, He is with Electrical Engineering Department as Hon. Adjunct Professor. As a recognition of his contributions to engineering education, he was honoured as an IEEE Fellow.[2] Previously he was Vice-Chancellor at VIT University.[citation needed]. On his 75th Birthday (07.10.2019), he was given the title of "Electrical Professor" by all his research scholars, faculty and well-wishers and a personal website of him was launched titled www.electricalprofessor.com. The 75th birthday also marks his 50 years of professional experience.
Virtualization is often used in cloud computing platforms for its several advantages in efficiently managing resources. However, virtualization raises certain additional challenges, and one of them is lack of power metering for virtual machines (VMs). Power management requirements in modern data centers have led to most new servers providing power usage measurement in hardware and alternate solutions exist for older servers using circuit and outlet level measurements. However, VM power cannot be measured purely in hardware. We present a solution for VM power metering, named Joulemeter. We build power models to infer power consumption from resource usage at runtime and identify the challenges that arise when applying such models for VM power metering. We show how existing instrumentation in server hardware and hypervisors can be used to build the required power models on real platforms with low error. Our approach is designed to operate with extremely low runtime overhead while providing practically useful accuracy. We illustrate the use of the proposed metering capability for VM power capping, a technique to reduce power provisioning costs in data centers. Experiments are performed on server traces from several thousand production servers, hosting Microsoft's real-world applications such as Windows Live Messenger. The results show that not only does VM power metering allows virtualized data centers to achieve the same savings that non-virtualized data centers achieved through physical server power capping, but also that it enables further savings in provisioning costs with virtualization.
This paper presents the recent technical research survey on the efficient live migration of virtual machines. Virtual machine migration is required for many reasons like load balancing, energy reduction, dynamic resizing, and to increase availability. ...
Virtualization is the key underlying technology enabling cloud providers to host services for a large number of customers. Live migration is an essential feature of virtualization that allows transfer of virtual machines from one physical server to ...
This paper deals with some aspects of automatic generation control of a two-area mixed hydro-thermal electric power system. The linear discrete time state space model with a thermal unit and a hydro unit per area, is used. The speed governor deadband and the generator rate constraints are being taken into consideration. Automatic Generation Control (AGC) of hydro units equipped with classical generation controllers is used for load change regulations from moment to moment. Discrete mode optimisation of such controllers using Integral Squared Error (ISE) concepts have been attempted. While AGC of thermal units equipped with self-tuning predictors is for regulations of sustained load changes.
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