Future Smart Grid Systems

This book focuses on the analysis, design and implementation of future smart grid systems. This book contains eleven chapters, which were originally published after rigorous peer-review as a Special Issue in the International Journal of Energies (Basel). The chapters cover a range of work from autho...

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Bibliographic Details
Other Authors: Short, Michael (Editor), Crosbie, Tracey (Editor), Al-Greer, Maher (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
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DOAB: description of the publication
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520 |a This book focuses on the analysis, design and implementation of future smart grid systems. This book contains eleven chapters, which were originally published after rigorous peer-review as a Special Issue in the International Journal of Energies (Basel). The chapters cover a range of work from authors across the globe and present both the state-of-the-art and emerging paradigms across a range of topics including sustainability planning, regulations and policy, estimation and situational awareness, energy forecasting, control and optimization and decentralisation. This book will be of interest to researchers, practitioners and scholars working in areas related to future smart grid systems. 
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546 |a English 
650 7 |a Research & information: general  |2 bicssc 
650 7 |a Technology: general issues  |2 bicssc 
653 |a industry 4.0 
653 |a digitalization 
653 |a demand response 
653 |a HVAC control 
653 |a dynamic programming 
653 |a nonlinear optimization 
653 |a energy storage 
653 |a regulatory barriers 
653 |a storage policy 
653 |a market regulations 
653 |a SWOT analysis 
653 |a deep neural networks 
653 |a short-term load forecasting 
653 |a renewable energy 
653 |a sustainability 
653 |a island communities 
653 |a demand flexibility 
653 |a energy management 
653 |a optimization 
653 |a hydrogen economy 
653 |a cost analysis 
653 |a life cycle costing 
653 |a methane reforming 
653 |a water electrolysis 
653 |a centralised hydrogen production 
653 |a smart grids (intelligent networks) 
653 |a phasor machine learning 
653 |a binary logistic regression 
653 |a wireless network 
653 |a Sensors 
653 |a decentralized 
653 |a community energy management 
653 |a lithium-ion battery 
653 |a capacity prediction 
653 |a state of health estimation 
653 |a time-frequency image analysis 
653 |a continuous wavelet transform (CWT) 
653 |a two-stage optimization 
653 |a risk-based hybrid demand response 
653 |a uncertainties 
653 |a conditional value at risk 
653 |a improved multi-layer artificial bee colony algorithm 
653 |a interconnected power system 
653 |a cybersecurity 
653 |a FPID controller 
653 |a automatic intrusion mitigation unit 
653 |a Virtual Oscillator Control 
653 |a parameter tuning 
653 |a voltage-mode inverter 
653 |a microgrid 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/76646  |7 0  |z DOAB: description of the publication