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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.

Research & information: general --- Technology: general issues --- industry 4.0 --- digitalization --- demand response --- HVAC control --- dynamic programming --- nonlinear optimization --- energy storage --- regulatory barriers --- storage policy --- market regulations --- SWOT analysis --- deep neural networks --- short-term load forecasting --- renewable energy --- sustainability --- island communities --- demand flexibility --- energy management --- optimization --- hydrogen economy --- cost analysis --- life cycle costing --- methane reforming --- water electrolysis --- centralised hydrogen production --- smart grids (intelligent networks) --- phasor machine learning --- binary logistic regression --- wireless network --- Sensors --- decentralized --- community energy management --- lithium-ion battery --- capacity prediction --- state of health estimation --- time–frequency image analysis --- continuous wavelet transform (CWT) --- two-stage optimization --- risk-based hybrid demand response --- uncertainties --- conditional value at risk --- improved multi-layer artificial bee colony algorithm --- interconnected power system --- cybersecurity --- FPID controller --- automatic intrusion mitigation unit --- Virtual Oscillator Control --- parameter tuning --- voltage-mode inverter --- microgrid

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

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.

Research & information: general --- Technology: general issues --- industry 4.0 --- digitalization --- demand response --- HVAC control --- dynamic programming --- nonlinear optimization --- energy storage --- regulatory barriers --- storage policy --- market regulations --- SWOT analysis --- deep neural networks --- short-term load forecasting --- renewable energy --- sustainability --- island communities --- demand flexibility --- energy management --- optimization --- hydrogen economy --- cost analysis --- life cycle costing --- methane reforming --- water electrolysis --- centralised hydrogen production --- smart grids (intelligent networks) --- phasor machine learning --- binary logistic regression --- wireless network --- Sensors --- decentralized --- community energy management --- lithium-ion battery --- capacity prediction --- state of health estimation --- time–frequency image analysis --- continuous wavelet transform (CWT) --- two-stage optimization --- risk-based hybrid demand response --- uncertainties --- conditional value at risk --- improved multi-layer artificial bee colony algorithm --- interconnected power system --- cybersecurity --- FPID controller --- automatic intrusion mitigation unit --- Virtual Oscillator Control --- parameter tuning --- voltage-mode inverter --- microgrid --- industry 4.0 --- digitalization --- demand response --- HVAC control --- dynamic programming --- nonlinear optimization --- energy storage --- regulatory barriers --- storage policy --- market regulations --- SWOT analysis --- deep neural networks --- short-term load forecasting --- renewable energy --- sustainability --- island communities --- demand flexibility --- energy management --- optimization --- hydrogen economy --- cost analysis --- life cycle costing --- methane reforming --- water electrolysis --- centralised hydrogen production --- smart grids (intelligent networks) --- phasor machine learning --- binary logistic regression --- wireless network --- Sensors --- decentralized --- community energy management --- lithium-ion battery --- capacity prediction --- state of health estimation --- time–frequency image analysis --- continuous wavelet transform (CWT) --- two-stage optimization --- risk-based hybrid demand response --- uncertainties --- conditional value at risk --- improved multi-layer artificial bee colony algorithm --- interconnected power system --- cybersecurity --- FPID controller --- automatic intrusion mitigation unit --- Virtual Oscillator Control --- parameter tuning --- voltage-mode inverter --- microgrid