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1

Bordons, Carlos, Félix Garcia-Torres, and Miguel A. Ridao. Model Predictive Control of Microgrids. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-24570-2.

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García-Torres, Félix. Model Predictive Control of Microgrids. Springer Nature, 2020.

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3

Bordons, Carlos, Félix Garcia-Torres, and Miguel A. Ridao. Model Predictive Control of Microgrids. Springer, 2019.

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4

Model Predictive Control of Microgrids. Springer International Publishing AG, 2020.

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5

Bhave, Mahesh P. The Microgrid Revolution. ABC-CLIO, LLC, 2016. http://dx.doi.org/10.5040/9798400685347.

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What kinds (according to U.S. News & World Report) of clean electricity initiatives—ones that make sense on public policy and business strategy levels—could overcome the hurdles in shifting away from the entrenched electricity and petroleum-based transport industries in the United States? This book explores the tremendous opportunities of the new electricity revolution that looks to threaten the century-old business models of our existing power production infrastructure. The electricity industry, having been in place for more than 100 years, has established tremendous power and influence. But as solar- and wind-based energy businesses gain small footholds and expand their impact, the incumbent electricity businesses face fundamental challenges that threaten their century-old business models. Will technological advances and the motivation to control climate change finally effect a revolution in the electricity markets? This unique book proposes public policy- and business strategy-level initiatives that could overcome the structural impediments that prevail in the current electricity industries and predicts the important changes to come in the immediate and distant future. In The Microgrid Revolution: Business Strategies for Next-Generation Electricity, author Mahesh P. Bhave explains the current state of electricity production, identifies its widespread problems, and proposes a specific approach and particular solution to the puzzle of supplying clean energy for the 21st-century world. The introductory chapters lay the groundwork for the author’s provocative thesis, and the concluding chapters elaborate on it with broad implications. By examining the subject material from the perspectives of public policy and regulatory concerns, corporate strategy, industry structure changes, innovation, and climate change as well as from a technological angle, readers from diverse industries and professional backgrounds will be able to understand how the coming electricity revolution is something we all have the power to influence.
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Control Estimation and Optimization for Microgrids: A Fuzzy-Model-based Method. Taylor & Francis Group, 2019.

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7

Hu, Jiefeng, Josep Guerrero, and Syed Islam. Model Predictive Control for Microgrids: From power electronic converters to energy management. Institution of Engineering and Technology, 2021. http://dx.doi.org/10.1049/pbpo199e.

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Guerrero, Josep M., Jiefeng Hu, and Syed Islam. Model Predictive Control for Microgrids: From Power Electronic Converters to Energy Management. Institution of Engineering & Technology, 2021.

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Zhong, Zhixiong. Modeling, Control, Estimation, and Optimization for Microgrids: A Fuzzy-Model-Based Method. Taylor & Francis Group, 2019.

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Zhong, Zhixiong. Modeling, Control, Estimation, and Optimization for Microgrids: A Fuzzy-Model-Based Method. Taylor & Francis Group, 2019.

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Zhong, Zhixiong. Modeling, Control, Estimation, and Optimization for Microgrids: A Fuzzy-Model-Based Method. Taylor & Francis Group, 2019.

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Zhong, Zhixiong. Modeling, Control, Estimation, and Optimization for Microgrids: A Fuzzy-Model-Based Method. Taylor & Francis Group, 2019.

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13

Guerrero, Josep M., Jiefeng Hu, and Syed Islam. Model Predictive Control for Microgrids: From Power Electronic Converters to Energy Management. Institution of Engineering & Technology, 2021.

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14

Modeling, Control, Estimation, and Optimization for Microgrids: A Fuzzy-Model-Based Method. Taylor & Francis Group, 2023.

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15

Debevoise, Mr Tom, and Rick Geneva. The Microguide To Process Modeling In Bpmn 2.0: How To Build Great Process, Rule, And Event Models. Createspace Independent Publishing Platform, 2011.

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16

Benarroch, Eduardo E. Neuroscience for Clinicians. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780190948894.001.0001.

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The aim of this book is to provide the clinician with a comprehensive and clinical relevant survey of emerging concepts on the organization and function of the nervous system and neurologic disease mechanisms, at the molecular, cellular, and system levels. The content of is based on the review of information obtained from recent advances in genetic, molecular, and cell biology techniques; electrophysiological recordings; brain mapping; and mouse models, emphasizing the clinical and possible therapeutic implications. Many chapters of this book contain information that will be relevant not only to clinical neurologists but also to psychiatrists and physical therapists. The scope includes the mechanisms and abnormalities of DNA/RNA metabolism, proteostasis, vesicular biogenesis, and axonal transport and mechanisms of neurodegeneration; the role of the mitochondria in cell function and death mechanisms; ion channels, neurotransmission and mechanisms of channelopathies and synaptopathies; the functions of astrocytes, oligodendrocytes, and microglia and their involvement in disease; the local circuits and synaptic interactions at the level of the cerebral cortex, thalamus, basal ganglia, cerebellum, brainstem, and spinal cord transmission regulating sensory processing, behavioral state, and motor functions; the peripheral and central mechanisms of pain and homeostasis; and networks involved in emotion, memory, language, and executive function.
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