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2021 (6)

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Book
Energy Data Analytics for Smart Meter Data
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

The principal advantage of smart electricity meters is their ability to transfer digitized electricity consumption data to remote processing systems. The data collected by these devices make the realization of many novel use cases possible, providing benefits to electricity providers and customers alike. This book includes 14 research articles that explore and exploit the information content of smart meter data, and provides insights into the realization of new digital solutions and services that support the transition towards a sustainable energy system. This volume has been edited by Andreas Reinhardt, head of the Energy Informatics research group at Technische Universität Clausthal, Germany, and Lucas Pereira, research fellow at Técnico Lisboa, Portugal.

Keywords

Technology: general issues --- smart grid --- nontechnical losses --- electricity theft detection --- synthetic minority oversampling technique --- K-means cluster --- random forest --- smart grids --- smart energy system --- smart meter --- GDPR --- data privacy --- ethics --- multi-label learning --- Non-intrusive Load Monitoring --- appliance recognition --- fryze power theory --- V-I trajectory --- Convolutional Neural Network --- distance similarity matrix --- activation current --- electric vehicle --- synthetic data --- exponential distribution --- Poisson distribution --- Gaussian mixture models --- mathematical modeling --- machine learning --- simulation --- Non-Intrusive Load Monitoring (NILM) --- NILM datasets --- power signature --- electric load simulation --- data-driven approaches --- smart meters --- text convolutional neural networks (TextCNN) --- time-series classification --- data annotation --- non-intrusive load monitoring --- semi-automatic labeling --- appliance load signatures --- ambient influences --- device classification accuracy --- NILM --- signature --- load disaggregation --- transients --- pulse generator --- smart metering --- smart power grids --- power consumption data --- energy data processing --- user-centric applications of energy data --- convolutional neural network --- energy consumption --- energy data analytics --- energy disaggregation --- real-time --- smart meter data --- transient load signature --- attention mechanism --- deep neural network --- electrical energy --- load scheduling --- satisfaction --- Shapley Value --- solar photovoltaics --- review --- deep learning --- deep neural networks --- smart grid --- nontechnical losses --- electricity theft detection --- synthetic minority oversampling technique --- K-means cluster --- random forest --- smart grids --- smart energy system --- smart meter --- GDPR --- data privacy --- ethics --- multi-label learning --- Non-intrusive Load Monitoring --- appliance recognition --- fryze power theory --- V-I trajectory --- Convolutional Neural Network --- distance similarity matrix --- activation current --- electric vehicle --- synthetic data --- exponential distribution --- Poisson distribution --- Gaussian mixture models --- mathematical modeling --- machine learning --- simulation --- Non-Intrusive Load Monitoring (NILM) --- NILM datasets --- power signature --- electric load simulation --- data-driven approaches --- smart meters --- text convolutional neural networks (TextCNN) --- time-series classification --- data annotation --- non-intrusive load monitoring --- semi-automatic labeling --- appliance load signatures --- ambient influences --- device classification accuracy --- NILM --- signature --- load disaggregation --- transients --- pulse generator --- smart metering --- smart power grids --- power consumption data --- energy data processing --- user-centric applications of energy data --- convolutional neural network --- energy consumption --- energy data analytics --- energy disaggregation --- real-time --- smart meter data --- transient load signature --- attention mechanism --- deep neural network --- electrical energy --- load scheduling --- satisfaction --- Shapley Value --- solar photovoltaics --- review --- deep learning --- deep neural networks


Book
Renewable Energies for Sustainable Development
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

In the current scenario in which climate change dominates our lives and in which we all need to combat and drastically reduce the emission of greenhouse gases, renewable energies play key roles as present and future energy sources. Renewable energies vary across a wide range, and therefore, there are related studies for each type of energy. This Special Issue is composed of studies integrating the latest research innovations and knowledge focused on all types of renewable energy: onshore and offshore wind, photovoltaic, solar, biomass, geothermal, waves, tides, hydro, etc. Authors were invited submit review and research papers focused on energy resource estimation, all types of TRL converters, civil infrastructure, electrical connection, environmental studies, licensing and development of facilities, construction, operation and maintenance, mechanical and structural analysis, new materials for these facilities, etc. Analyses of a combination of several renewable energies as well as storage systems to progress the development of these sustainable energies were welcomed.

Keywords

Technology: general issues --- RE prospects and challenges --- RE regulations and policy --- RE in Bangladesh --- geothermal energy --- induced seismicity --- fault --- Basel --- poroelasticity --- HEM --- PV sizing --- Load scheduling --- Dijkstra Algorithm --- BPSO --- GA --- optimization --- wind farm --- pumped storage --- isolated systems --- power plant efficiency --- compact pigeon-inspired optimization --- maximum short-term generation --- swarm intelligence --- hydroelectric power station --- strategic planning --- site selection process --- offshore wind farms --- geographic information systems --- portfolio analysis --- Greece --- renewable energy --- photovoltaic generation --- battery storage --- reliability evaluation --- Monte Carlo Simulation --- photovoltaics (PV) --- biomass --- off-grid electrification --- feasibility analysis --- cost analysis --- simple payback period --- CO2 emissions --- residential energy-related CO2 emissions --- less developed regions --- urban and rural regions --- LMDI --- Tapio decoupling --- Jiangxi province --- Hybrid energy system --- wind power --- photovoltaic --- hosting capacity --- distribution system --- integrated system --- floating buoy --- offshore structure --- wave energy converter --- non-negative spring stiffness --- renewable–growth hypothesis --- renewable electricity --- economic growth --- renewable manufacturing --- energy–growth nexus --- inverters --- converters --- distributed generators --- utility grid --- hierarchical control --- PHEV --- NEDC --- WLTP --- energy consumption --- NEV credit regulation --- subsidy policy --- frequency control --- power system stability --- variable renewable energy sources --- wind power plants --- photovoltaic power plants --- wave energy converters --- heaving point absorber --- design and performance --- spatial and temporal variation --- emergy --- emergetic ternary diagrams --- sustainability --- environmental loading --- energy systems assessment --- solar updraft tower --- artificial neural network --- principal component analysis --- wave overtopping rate --- photovoltaic spatial planning --- photovoltaic carrying capacity --- influence factors --- optimization strategies --- carrying capacity distribution --- planning adjustment --- renewable energy resources --- grid integrated solar PV systems --- sustainable power generation --- maximum power point tracking --- grid reliability and voltage source converter


Book
Energy Data Analytics for Smart Meter Data
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

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Bookmark

Abstract

The principal advantage of smart electricity meters is their ability to transfer digitized electricity consumption data to remote processing systems. The data collected by these devices make the realization of many novel use cases possible, providing benefits to electricity providers and customers alike. This book includes 14 research articles that explore and exploit the information content of smart meter data, and provides insights into the realization of new digital solutions and services that support the transition towards a sustainable energy system. This volume has been edited by Andreas Reinhardt, head of the Energy Informatics research group at Technische Universität Clausthal, Germany, and Lucas Pereira, research fellow at Técnico Lisboa, Portugal.

Keywords

Technology: general issues --- smart grid --- nontechnical losses --- electricity theft detection --- synthetic minority oversampling technique --- K-means cluster --- random forest --- smart grids --- smart energy system --- smart meter --- GDPR --- data privacy --- ethics --- multi-label learning --- Non-intrusive Load Monitoring --- appliance recognition --- fryze power theory --- V-I trajectory --- Convolutional Neural Network --- distance similarity matrix --- activation current --- electric vehicle --- synthetic data --- exponential distribution --- Poisson distribution --- Gaussian mixture models --- mathematical modeling --- machine learning --- simulation --- Non-Intrusive Load Monitoring (NILM) --- NILM datasets --- power signature --- electric load simulation --- data-driven approaches --- smart meters --- text convolutional neural networks (TextCNN) --- time-series classification --- data annotation --- non-intrusive load monitoring --- semi-automatic labeling --- appliance load signatures --- ambient influences --- device classification accuracy --- NILM --- signature --- load disaggregation --- transients --- pulse generator --- smart metering --- smart power grids --- power consumption data --- energy data processing --- user-centric applications of energy data --- convolutional neural network --- energy consumption --- energy data analytics --- energy disaggregation --- real-time --- smart meter data --- transient load signature --- attention mechanism --- deep neural network --- electrical energy --- load scheduling --- satisfaction --- Shapley Value --- solar photovoltaics --- review --- deep learning --- deep neural networks --- n/a


Book
Renewable Energies for Sustainable Development
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

In the current scenario in which climate change dominates our lives and in which we all need to combat and drastically reduce the emission of greenhouse gases, renewable energies play key roles as present and future energy sources. Renewable energies vary across a wide range, and therefore, there are related studies for each type of energy. This Special Issue is composed of studies integrating the latest research innovations and knowledge focused on all types of renewable energy: onshore and offshore wind, photovoltaic, solar, biomass, geothermal, waves, tides, hydro, etc. Authors were invited submit review and research papers focused on energy resource estimation, all types of TRL converters, civil infrastructure, electrical connection, environmental studies, licensing and development of facilities, construction, operation and maintenance, mechanical and structural analysis, new materials for these facilities, etc. Analyses of a combination of several renewable energies as well as storage systems to progress the development of these sustainable energies were welcomed.

Keywords

RE prospects and challenges --- RE regulations and policy --- RE in Bangladesh --- geothermal energy --- induced seismicity --- fault --- Basel --- poroelasticity --- HEM --- PV sizing --- Load scheduling --- Dijkstra Algorithm --- BPSO --- GA --- optimization --- wind farm --- pumped storage --- isolated systems --- power plant efficiency --- compact pigeon-inspired optimization --- maximum short-term generation --- swarm intelligence --- hydroelectric power station --- strategic planning --- site selection process --- offshore wind farms --- geographic information systems --- portfolio analysis --- Greece --- renewable energy --- photovoltaic generation --- battery storage --- reliability evaluation --- Monte Carlo Simulation --- photovoltaics (PV) --- biomass --- off-grid electrification --- feasibility analysis --- cost analysis --- simple payback period --- CO2 emissions --- residential energy-related CO2 emissions --- less developed regions --- urban and rural regions --- LMDI --- Tapio decoupling --- Jiangxi province --- Hybrid energy system --- wind power --- photovoltaic --- hosting capacity --- distribution system --- integrated system --- floating buoy --- offshore structure --- wave energy converter --- non-negative spring stiffness --- renewable–growth hypothesis --- renewable electricity --- economic growth --- renewable manufacturing --- energy–growth nexus --- inverters --- converters --- distributed generators --- utility grid --- hierarchical control --- PHEV --- NEDC --- WLTP --- energy consumption --- NEV credit regulation --- subsidy policy --- frequency control --- power system stability --- variable renewable energy sources --- wind power plants --- photovoltaic power plants --- wave energy converters --- heaving point absorber --- design and performance --- spatial and temporal variation --- emergy --- emergetic ternary diagrams --- sustainability --- environmental loading --- energy systems assessment --- solar updraft tower --- artificial neural network --- principal component analysis --- wave overtopping rate --- photovoltaic spatial planning --- photovoltaic carrying capacity --- influence factors --- optimization strategies --- carrying capacity distribution --- planning adjustment --- renewable energy resources --- grid integrated solar PV systems --- sustainable power generation --- maximum power point tracking --- grid reliability and voltage source converter


Book
Energy Data Analytics for Smart Meter Data
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

The principal advantage of smart electricity meters is their ability to transfer digitized electricity consumption data to remote processing systems. The data collected by these devices make the realization of many novel use cases possible, providing benefits to electricity providers and customers alike. This book includes 14 research articles that explore and exploit the information content of smart meter data, and provides insights into the realization of new digital solutions and services that support the transition towards a sustainable energy system. This volume has been edited by Andreas Reinhardt, head of the Energy Informatics research group at Technische Universität Clausthal, Germany, and Lucas Pereira, research fellow at Técnico Lisboa, Portugal.

Keywords

smart grid --- nontechnical losses --- electricity theft detection --- synthetic minority oversampling technique --- K-means cluster --- random forest --- smart grids --- smart energy system --- smart meter --- GDPR --- data privacy --- ethics --- multi-label learning --- Non-intrusive Load Monitoring --- appliance recognition --- fryze power theory --- V-I trajectory --- Convolutional Neural Network --- distance similarity matrix --- activation current --- electric vehicle --- synthetic data --- exponential distribution --- Poisson distribution --- Gaussian mixture models --- mathematical modeling --- machine learning --- simulation --- Non-Intrusive Load Monitoring (NILM) --- NILM datasets --- power signature --- electric load simulation --- data-driven approaches --- smart meters --- text convolutional neural networks (TextCNN) --- time-series classification --- data annotation --- non-intrusive load monitoring --- semi-automatic labeling --- appliance load signatures --- ambient influences --- device classification accuracy --- NILM --- signature --- load disaggregation --- transients --- pulse generator --- smart metering --- smart power grids --- power consumption data --- energy data processing --- user-centric applications of energy data --- convolutional neural network --- energy consumption --- energy data analytics --- energy disaggregation --- real-time --- smart meter data --- transient load signature --- attention mechanism --- deep neural network --- electrical energy --- load scheduling --- satisfaction --- Shapley Value --- solar photovoltaics --- review --- deep learning --- deep neural networks --- n/a


Book
Renewable Energies for Sustainable Development
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

In the current scenario in which climate change dominates our lives and in which we all need to combat and drastically reduce the emission of greenhouse gases, renewable energies play key roles as present and future energy sources. Renewable energies vary across a wide range, and therefore, there are related studies for each type of energy. This Special Issue is composed of studies integrating the latest research innovations and knowledge focused on all types of renewable energy: onshore and offshore wind, photovoltaic, solar, biomass, geothermal, waves, tides, hydro, etc. Authors were invited submit review and research papers focused on energy resource estimation, all types of TRL converters, civil infrastructure, electrical connection, environmental studies, licensing and development of facilities, construction, operation and maintenance, mechanical and structural analysis, new materials for these facilities, etc. Analyses of a combination of several renewable energies as well as storage systems to progress the development of these sustainable energies were welcomed.

Keywords

Technology: general issues --- RE prospects and challenges --- RE regulations and policy --- RE in Bangladesh --- geothermal energy --- induced seismicity --- fault --- Basel --- poroelasticity --- HEM --- PV sizing --- Load scheduling --- Dijkstra Algorithm --- BPSO --- GA --- optimization --- wind farm --- pumped storage --- isolated systems --- power plant efficiency --- compact pigeon-inspired optimization --- maximum short-term generation --- swarm intelligence --- hydroelectric power station --- strategic planning --- site selection process --- offshore wind farms --- geographic information systems --- portfolio analysis --- Greece --- renewable energy --- photovoltaic generation --- battery storage --- reliability evaluation --- Monte Carlo Simulation --- photovoltaics (PV) --- biomass --- off-grid electrification --- feasibility analysis --- cost analysis --- simple payback period --- CO2 emissions --- residential energy-related CO2 emissions --- less developed regions --- urban and rural regions --- LMDI --- Tapio decoupling --- Jiangxi province --- Hybrid energy system --- wind power --- photovoltaic --- hosting capacity --- distribution system --- integrated system --- floating buoy --- offshore structure --- wave energy converter --- non-negative spring stiffness --- renewable–growth hypothesis --- renewable electricity --- economic growth --- renewable manufacturing --- energy–growth nexus --- inverters --- converters --- distributed generators --- utility grid --- hierarchical control --- PHEV --- NEDC --- WLTP --- energy consumption --- NEV credit regulation --- subsidy policy --- frequency control --- power system stability --- variable renewable energy sources --- wind power plants --- photovoltaic power plants --- wave energy converters --- heaving point absorber --- design and performance --- spatial and temporal variation --- emergy --- emergetic ternary diagrams --- sustainability --- environmental loading --- energy systems assessment --- solar updraft tower --- artificial neural network --- principal component analysis --- wave overtopping rate --- photovoltaic spatial planning --- photovoltaic carrying capacity --- influence factors --- optimization strategies --- carrying capacity distribution --- planning adjustment --- renewable energy resources --- grid integrated solar PV systems --- sustainable power generation --- maximum power point tracking --- grid reliability and voltage source converter --- RE prospects and challenges --- RE regulations and policy --- RE in Bangladesh --- geothermal energy --- induced seismicity --- fault --- Basel --- poroelasticity --- HEM --- PV sizing --- Load scheduling --- Dijkstra Algorithm --- BPSO --- GA --- optimization --- wind farm --- pumped storage --- isolated systems --- power plant efficiency --- compact pigeon-inspired optimization --- maximum short-term generation --- swarm intelligence --- hydroelectric power station --- strategic planning --- site selection process --- offshore wind farms --- geographic information systems --- portfolio analysis --- Greece --- renewable energy --- photovoltaic generation --- battery storage --- reliability evaluation --- Monte Carlo Simulation --- photovoltaics (PV) --- biomass --- off-grid electrification --- feasibility analysis --- cost analysis --- simple payback period --- CO2 emissions --- residential energy-related CO2 emissions --- less developed regions --- urban and rural regions --- LMDI --- Tapio decoupling --- Jiangxi province --- Hybrid energy system --- wind power --- photovoltaic --- hosting capacity --- distribution system --- integrated system --- floating buoy --- offshore structure --- wave energy converter --- non-negative spring stiffness --- renewable–growth hypothesis --- renewable electricity --- economic growth --- renewable manufacturing --- energy–growth nexus --- inverters --- converters --- distributed generators --- utility grid --- hierarchical control --- PHEV --- NEDC --- WLTP --- energy consumption --- NEV credit regulation --- subsidy policy --- frequency control --- power system stability --- variable renewable energy sources --- wind power plants --- photovoltaic power plants --- wave energy converters --- heaving point absorber --- design and performance --- spatial and temporal variation --- emergy --- emergetic ternary diagrams --- sustainability --- environmental loading --- energy systems assessment --- solar updraft tower --- artificial neural network --- principal component analysis --- wave overtopping rate --- photovoltaic spatial planning --- photovoltaic carrying capacity --- influence factors --- optimization strategies --- carrying capacity distribution --- planning adjustment --- renewable energy resources --- grid integrated solar PV systems --- sustainable power generation --- maximum power point tracking --- grid reliability and voltage source converter

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