Udvidet returret til d. 31. januar 2025

Bøger af M El-Hawary

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  • - Static State Estimation
    af M El-Hawary
    1.329,95 kr.

    A guide to the role of static state estimation in the mitigation of potential system failuresWith contributions from a noted panel of experts on the topic, Advances in Electric Power and Energy: Static State Estimation addresses the wide-range of issues concerning static state estimation as a main energy control function and major tool for evaluating prevailing operating conditions in electric power systems worldwide.This book is an essential guide for system operators who must be fully aware of potential threats to the integrity of their own and neighboring systems. The contributors provide an overview of the topic and review common threats such as cascading black-outs to model-based anomaly detection to the operation of micro-grids and much more. The book also includes a discussion of an effective mathematical programming approach to state estimation in power systems. Advances in Electric Power and Energy reviews the most recent developments in the field and:* Offers an introduction to the topic to help non-experts (and professionals) get up-to-date on static state estimation* Covers the essential information needed to understand power system state estimation written by experts on the subject* Discusses a mathematical programming approachWritten for electric power system planners, operators, consultants, power system software developers, and academics, Advances in Electric Power and Energy is the authoritative guide to the topic with contributions from experts who review the most recent developments.

  • - Load and Price Forecasting
    af M El-Hawary
    1.268,95 kr.

    This book fills a void in the field of power systems, as an invaluable compendium for researchers, practitioners, as well as graduate students. It covers everything from load and price forecasting, to post-storm service restoration times. It also introduces advanced methods of time series forecasting, as well as neural networks.

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