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Energy is one of the most important factors of production. Its efficient use is crucial for ensuring production and environmental quality. Unlike normal goods with supply management, energy is demand managed. Efficient energy use—or energy efficiency—aims to reduce the amount of energy required to provide products and services. Energy use efficiency can be achieved in situations such as housing, offices, industrial production, transport and agriculture as well as in public lighting and services. The use of energy can be reduced by using technology that is energy saving. This Special Issue is a collection of research on energy use efficiency.

History of engineering & technology --- energy efficiency --- direct energy rebound effect --- spatial spillover effect --- price decomposition --- fuel consumption --- trade-off --- technological progress --- passenger vehicle --- power factor --- regression discontinuity design --- data envelopment analysis --- super-SBM --- grey model --- energy consumption --- vehicle --- productive process --- material consumption --- manufacturing --- labor productivity --- energy --- Ethiopia --- energy access --- energy use --- fuzzy logic --- energy intensity --- stochastic frontier --- persistent efficiency --- transient efficiency --- US manufacturing --- energy paradox --- integrated assessment model --- subsidy policy --- air quality improvement --- zero-emission vehicles --- fine particulate matter --- Corporate Average Fuel Economy standards --- Global Change Assessment Model --- energy monitoring --- electricity smart meters --- smart metering information platforms --- knowledge --- longitudinal study --- consumers --- energy use efficiency --- energy efficiency management --- design science research --- pilot implementation --- dynamics --- heat transfer in buildings --- heat losses --- buildings --- thermal power --- heating --- dynamic DEA --- efficiency measurement --- electricity power generation --- weak disposability --- undesirable outputs

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Modern cities are facing the challenge of combining competitiveness at the global city scale and sustainable urban development to become smart cities. A smart city is a high-tech, intensive and advanced city that connects people, information, and city elements using new technologies in order to create a sustainable, greener city; competitive and innovative commerce; and an increased quality of life. This Special Issue collects the recent advancements in smart cities and covers different topics and aspects.

cycle logistics --- European projects --- goods delivery --- bike delivery --- cargo cycle --- cargo bike --- bike sharing system --- expansion areas --- category clustering --- batches prediction --- extended range electric vehicle --- technologies --- optimization methods --- EREV key components --- level optimization --- urban accessibility --- Distrito Tec --- Monterrey Metropolitan Zone (MMZ) --- Urban Basic Geostatistical Areas (AGEBs) --- 15 minutes city --- UrMoAC --- smart networks --- digitization --- smart transit --- cyber security --- smart city --- smarter communities --- smart sensors --- smart meters --- internet of things (IoT) --- facial recognition --- cyber privacy --- time series analysis --- energy demand forecast --- ARIMA --- hybrid model --- power theft --- itinerary planning --- smart tourism --- graph theory --- heuristic approach --- smart water/energy/mobility --- open innovation --- challenge living lab --- challenge-based learning --- electric vehicle --- vehicle-to-grid --- vehicle-to-building --- electric vehicle emulator --- electric vehicle supply equipment --- smart grid --- n/a

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Energy is one of the most important factors of production. Its efficient use is crucial for ensuring production and environmental quality. Unlike normal goods with supply management, energy is demand managed. Efficient energy use—or energy efficiency—aims to reduce the amount of energy required to provide products and services. Energy use efficiency can be achieved in situations such as housing, offices, industrial production, transport and agriculture as well as in public lighting and services. The use of energy can be reduced by using technology that is energy saving. This Special Issue is a collection of research on energy use efficiency.

History of engineering & technology --- energy efficiency --- direct energy rebound effect --- spatial spillover effect --- price decomposition --- fuel consumption --- trade-off --- technological progress --- passenger vehicle --- power factor --- regression discontinuity design --- data envelopment analysis --- super-SBM --- grey model --- energy consumption --- vehicle --- productive process --- material consumption --- manufacturing --- labor productivity --- energy --- Ethiopia --- energy access --- energy use --- fuzzy logic --- energy intensity --- stochastic frontier --- persistent efficiency --- transient efficiency --- US manufacturing --- energy paradox --- integrated assessment model --- subsidy policy --- air quality improvement --- zero-emission vehicles --- fine particulate matter --- Corporate Average Fuel Economy standards --- Global Change Assessment Model --- energy monitoring --- electricity smart meters --- smart metering information platforms --- knowledge --- longitudinal study --- consumers --- energy use efficiency --- energy efficiency management --- design science research --- pilot implementation --- dynamics --- heat transfer in buildings --- heat losses --- buildings --- thermal power --- heating --- dynamic DEA --- efficiency measurement --- electricity power generation --- weak disposability --- undesirable outputs --- energy efficiency --- direct energy rebound effect --- spatial spillover effect --- price decomposition --- fuel consumption --- trade-off --- technological progress --- passenger vehicle --- power factor --- regression discontinuity design --- data envelopment analysis --- super-SBM --- grey model --- energy consumption --- vehicle --- productive process --- material consumption --- manufacturing --- labor productivity --- energy --- Ethiopia --- energy access --- energy use --- fuzzy logic --- energy intensity --- stochastic frontier --- persistent efficiency --- transient efficiency --- US manufacturing --- energy paradox --- integrated assessment model --- subsidy policy --- air quality improvement --- zero-emission vehicles --- fine particulate matter --- Corporate Average Fuel Economy standards --- Global Change Assessment Model --- energy monitoring --- electricity smart meters --- smart metering information platforms --- knowledge --- longitudinal study --- consumers --- energy use efficiency --- energy efficiency management --- design science research --- pilot implementation --- dynamics --- heat transfer in buildings --- heat losses --- buildings --- thermal power --- heating --- dynamic DEA --- efficiency measurement --- electricity power generation --- weak disposability --- undesirable outputs

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The book provides assessments and evaluations of emerging trends in the electricity markets, with a focus on high-renewables electricity systems. Specifically, various issues are examined, such as wind and solar energy, interconnection, smart meters, smart grids of the future (including their social implications), and peer-to-peer (P2P) electricity trading, which is closely connected to the principle of a sharing economy. The book also contemplates how the market design for a high-renewables electricity system would be different from the classical post-liberalization market design.

Research & information: general --- renewable energy --- sustainable development --- gross domestic product --- GDP --- electrical capacity --- energy intensity --- hierarchical cluster analysis --- energy policy --- wholesale market design --- Electricity markets --- power system --- conceptual architecture --- distributed generation --- flexible resources --- local electricity markets --- electricity market design --- direct current --- distribution system --- local market --- flexibility --- microgrids --- continuous double auction --- Q-learning algorithm --- battery energy storage system, Q-cube framework --- bidding strategy --- emissions trading --- electricity price --- econometric modeling --- time series analysis --- emission allowance --- electricity market --- speculative trading --- forward market --- integration of renewable sources --- integrated markets --- co-optimization --- reserve allocation --- biofuels --- electricity generation --- power sector --- biomass --- Jatropha curcas --- system integration --- power industry --- state policy --- smart metering --- tariff rates --- system marginal price --- renewable energy sources --- photovoltaics --- day ahead market --- merit order curve --- electricity demand --- seasonal and daily variation --- RES (renewable energy sources) surcharge --- energy market --- artificial intelligence --- digital platform --- peer-to-peer --- trading mechanism --- clearing model --- clearing algorithm --- trading platform --- sustainability --- Internet of Energy --- smart meters --- smart grid --- husk --- energy supply --- efficiency --- carbon dioxide --- emissions --- energy efficiency --- economic growth --- energy consumption --- Czech Republic --- Slovakia --- renewable energy --- sustainable development --- gross domestic product --- GDP --- electrical capacity --- energy intensity --- hierarchical cluster analysis --- energy policy --- wholesale market design --- Electricity markets --- power system --- conceptual architecture --- distributed generation --- flexible resources --- local electricity markets --- electricity market design --- direct current --- distribution system --- local market --- flexibility --- microgrids --- continuous double auction --- Q-learning algorithm --- battery energy storage system, Q-cube framework --- bidding strategy --- emissions trading --- electricity price --- econometric modeling --- time series analysis --- emission allowance --- electricity market --- speculative trading --- forward market --- integration of renewable sources --- integrated markets --- co-optimization --- reserve allocation --- biofuels --- electricity generation --- power sector --- biomass --- Jatropha curcas --- system integration --- power industry --- state policy --- smart metering --- tariff rates --- system marginal price --- renewable energy sources --- photovoltaics --- day ahead market --- merit order curve --- electricity demand --- seasonal and daily variation --- RES (renewable energy sources) surcharge --- energy market --- artificial intelligence --- digital platform --- peer-to-peer --- trading mechanism --- clearing model --- clearing algorithm --- trading platform --- sustainability --- Internet of Energy --- smart meters --- smart grid --- husk --- energy supply --- efficiency --- carbon dioxide --- emissions --- energy efficiency --- economic growth --- energy consumption --- Czech Republic --- Slovakia

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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.

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