Advanced Applications for Smart Energy Systems Considering Grid-Interactive Demand Response |
Autore | Reinders Angèle |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (152 p.) |
Soggetto non controllato |
load duration curve
ancillary services electricity pricing renewable energy consumption patterns smart home technology self-consumption solar charging smart appliances spatial and temporal aggregation energy products and services solar mobility dynamic pricing frequency containment reserve heat pumps users FCR renewable energy transition privacy protection end-users self-sufficiency energy system analysis reliability photovoltaic systems stakeholders uncertainty smart grids flexibility prosumer demand shifting resonance instability energy management grid-connected inverter electricity market demand management smart metering photovoltaic aggregator smart product design internal attack pseudo-random function power quality power systems simulation demand response |
ISBN | 3-03921-999-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367735903321 |
Reinders Angèle
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Advances in Computer Recognition, Image Processing and Communications, Selected Papers from CORES 2021 and IP&C 2021 |
Autore | Choras Michal |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (268 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
pointer instrumentation
image processing object detection K-fold cross-validation Faster-RCNN vein detection digital image processing correlation displacement measurement semantic segmentation farmland vacancy segmentation strip pooling crop growth assessment encoder-decoder monotone curve tangent circle adjacent circle area of location of the curve contour fingerprinting malware analysis malicious network traffic analysis HTTP protocol analysis pcap file analysis malware tracking malware identification graph theory smart meter smart metering wireless sensor network interpolation tangent line curvature error ellipse B-spline dynamic dedicated path protection generic Dijkstra algorithm elastic optical network modulation constraints ECG signal classification PTB-XL deep learning computer vision adversarial attacks adversarial defences image quality assessment stitched images panoramic images image analysis image entropy NetFlow network intrusion detection network behavior analysis data quality feature selection fronthaul Xhaul DSB-RFoF A-RoF B5G 6G DIPP optical channel selection |
ISBN | 3-0365-5314-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910619471903321 |
Choras Michal
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MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications |
Autore | Lytras Miltiadis |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (258 p.) |
Soggetto non controllato |
artificial neural network
home energy management systems conditional random fields LR ELR energy disaggregation artificial intelligence genetic algorithm decision tree static young’s modulus price scheduling self-adaptive differential evolution algorithm Marsh funnel energy yield point non-intrusive load monitoring mud rheology distributed genetic algorithm MCP39F511 Jetson TX2 sustainable development artificial neural networks transient signature load disaggregation smart villages ambient assisted living smart cities demand side management smart city CNN wireless sensor networks object detection drill-in fluid ERELM sandstone reservoirs RPN deep learning RELM smart grids multiple kernel learning load feature extraction NILM energy management energy efficient coverage insulator Faster R-CNN home energy management smart grid LSTM smart metering optimization algorithms forecasting plastic viscosity machine learning computational intelligence policy making support vector machine internet of things sensor network nonintrusive load monitoring demand response |
ISBN | 3-03928-890-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910404078103321 |
Lytras Miltiadis
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MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Energy Data Analytics for Smart Meter Data |
Autore | Reinhardt Andreas |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (346 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
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 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557645803321 |
Reinhardt Andreas
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Market Design for a High-Renewables Electricity System |
Autore | Strielkowski Wadim |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (328 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
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 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557624003321 |
Strielkowski Wadim
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Middleware Solutions for Wireless Internet of Things |
Autore | Das Sajal K |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (262 p.) |
Soggetto non controllato |
container
fog computing virtual reality privacy and security software defined infrastructure intelligent medical service very long instruction word (VLIW) semantics privacy leakage detection context information post-copy ontology body area network DSP Internet-of-Things Mobile Device Management interoperability Android water consumption Processing-in-Memory performance analysis semantic mobility data management CRIU training simulator Industry 4.0 sensor networks experimental evaluation programming paradigm pre-copy microservice-oriented platform CubeSats middleware registry smart metering big data analytics nanosatellites medium access control Internet of Things heterogeneity web-of-things one-to-one computing educational program Web-of-Things internet of things instruction set extension microservices architecture migration behaviour wireless access networks |
ISBN | 3-03921-037-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910346691903321 |
Das Sajal K
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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