Titlebook: R for Business Analytics; A Ohri Book 2013 Springer Science+Business Media New York 2013 Business Analytics.Data Mining.Data Visualization

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A. Ohrilp resolve...The models, tools and techniques described in this book are of interest for researches of energy systems, professionals working as power system planners or operators, and for graduate students in power engineering and operations research..978-3-031-09081-3978-3-031-09079-0Series ISSN 1865-3529 Series E-ISSN 1865-3537

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A. Ohrie control of the charge/discharge of their vehicles to the system operator. The formulation of these curves implies the use of binary variables. The model analyzed in this chapter considers uncertainties such as the annual demand growth, the capital costs of generating and storage units and the numb

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A. Ohri as well as the consumers..Nevertheless, not only incorrect charging operations at stations increase unnecessary charging costs, but also it leads to reduce the reliability of the power grid. Accordingly, it is essential to obtain an appropriate policy for the optimal operation of EVBRSs for maximiz

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A. Ohriedure is repeated until convergence is reached. For the voltage-driven mode, the procedure starts with a time-harmonic solution generating a first estimate of both stator and rotor currents. During the time-harmonic solution, end effects of the motor are taken into account. This is done by linking t

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A. Ohribefore 1900 the limitations of the batteries to drive them have not enabled them to compete in the general consumer’s market with the internal combustion engine. Automotive parts are limited by space and weight. Therefore EVs and hybrid electric vehicles (HEVs) require a battery with high energy den

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A. Ohribefore 1900 the limitations of the batteries to drive them have not enabled them to compete in the general consumer’s market with the internal combustion engine. Automotive parts are limited by space and weight. Therefore EVs and hybrid electric vehicles (HEVs) require a battery with high energy den