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Today, the flow of electricity is bidirectional, and not all electricity is centrally produced in large power plants. With the growing emergence of prosumers and microgrids, the amount of electricity produced by sources other than large, traditional power plants is ever-increasing. These alternative sources include photovoltaic (PV), wind turbine (WT), geothermal, and biomass renewable generation plants. Some renewable energy resources (solar PV and wind turbine generation) are highly dependent on natural processes and parameters (wind speed, wind direction, temperature, solar irradiation, humidity, etc.). Thus, the outputs are so stochastic in nature. New data-science-inspired real-time solutions are needed in order to co-develop digital twins of large intermittent renewable plants whose services can be globally delivered.

self-healing grid --- machine-learning --- feature extraction --- event detection --- optimization techniques --- manta ray foraging optimization algorithm --- multi-objective function --- radial networks --- optimal power flow --- automatic P2P energy trading --- Markov decision process --- deep reinforcement learning --- deep Q-network --- long short-term delayed reward --- inter-area oscillations --- modal analysis --- reduced order modeling --- dynamic mode decomposition --- machine learning --- artificial neural networks --- steady-state security assessment --- situation awareness --- cellular computational networks --- load flow prediction --- contingency --- fuzzy system --- change detection --- data analytics --- data mining --- filtering --- optimization --- power quality --- signal processing --- total variation smoothing --- n/a

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Climate change mitigation and adaptation are key challenges of the 21st century. These challenges include global energy consumption and dependence on fossil fuels, which are addressed in global energy policies. About two-thirds of global greenhouse gas emissions are linked to the burning of fossil fuels used for heating, electricity, transport, and industry. Therefore, the world is looking for the most reliable, cost-effective, and environmentally friendly energy sources coupled with energy saving, which is a clean and low-cost solution to the growing demand for energy. As a clear example of this, cities are integrating renewable energies into their smart city plans. This book aims to advance the contribution of the use of renewable energies and energy saving in order to achieve a more sustainable world.

Technology: general issues --- History of engineering & technology --- BIPV window --- WWR --- overall energy --- tilt angle --- visual comfort --- energy saving --- semi-arid --- wind power generation --- artificial neural networks --- chargeability factor --- reactive power capacity --- wind speed and demand curves --- energy management systems --- multi-objective function --- optimal set-points --- stochastic optimization --- wind farm operation --- expert survey --- renewable energy --- biogas --- biomethane --- biogas plant --- business model --- political support system --- building performance --- value co-creation --- value add --- maintenance management --- hospital buildings --- optimal power flow --- power flow --- optimization algorithms --- DC networks --- electrical energy --- optimization --- willingness to pay --- minigrids --- rural electrification --- Ghana --- hospital building maintenance --- critical success factor --- value-based practices --- importance-performance matrix analysis --- renewable energy sources --- non-conventional renewable energy sources --- RES --- NCRES --- electric power system --- information environment --- n/a

Choose an application

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

Climate change mitigation and adaptation are key challenges of the 21st century. These challenges include global energy consumption and dependence on fossil fuels, which are addressed in global energy policies. About two-thirds of global greenhouse gas emissions are linked to the burning of fossil fuels used for heating, electricity, transport, and industry. Therefore, the world is looking for the most reliable, cost-effective, and environmentally friendly energy sources coupled with energy saving, which is a clean and low-cost solution to the growing demand for energy. As a clear example of this, cities are integrating renewable energies into their smart city plans. This book aims to advance the contribution of the use of renewable energies and energy saving in order to achieve a more sustainable world.

Technology: general issues --- History of engineering & technology --- BIPV window --- WWR --- overall energy --- tilt angle --- visual comfort --- energy saving --- semi-arid --- wind power generation --- artificial neural networks --- chargeability factor --- reactive power capacity --- wind speed and demand curves --- energy management systems --- multi-objective function --- optimal set-points --- stochastic optimization --- wind farm operation --- expert survey --- renewable energy --- biogas --- biomethane --- biogas plant --- business model --- political support system --- building performance --- value co-creation --- value add --- maintenance management --- hospital buildings --- optimal power flow --- power flow --- optimization algorithms --- DC networks --- electrical energy --- optimization --- willingness to pay --- minigrids --- rural electrification --- Ghana --- hospital building maintenance --- critical success factor --- value-based practices --- importance-performance matrix analysis --- renewable energy sources --- non-conventional renewable energy sources --- RES --- NCRES --- electric power system --- information environment