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Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids
| Applied Neural Networks and Fuzzy Logic in Power Electronics, Motor Drives, Renewable Energy Systems and Smart Grids |
| Autore | Simões Marcelo Godoy |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (202 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive neuro-fuzzy inference system
artificial intelligence asynchronous motor automatic generation control back propagation algorithm CNN-LSTM cognitive meters condition assessment convolutional neural network current balancing algorithm Data Envelopment Analysis (DEA) decision optimization deep learning deep reinforcement learning distribution network equipment droop curve electric load forecasting electricity forecasting energy Internet error differentiation frequency regulation Fuzzy Analytical Network Process (FANP) fuzzy iteration fuzzy logic fuzzy neural network control Fuzzy Theory knowledge embed level-shifted SPWM linear active disturbance rejection control load disaggregation long-term forecasting (LTF) machine learning medium-term forecasting (MTF) medium-voltage applications meta-heuristic algorithms motor drives multi information source multi-layer perceptron multilevel current source inverter NILM non-dominated sorting genetic algorithm II non-technical losses particle swarm optimization phase-shifted carrier SPWM renewable energy reserve power semi-supervised learning short-term forecasting (STF) smart grid solar power plant STATCOM state machine the rate of change of frequency thermostatically controlled loads vector control very short-term forecasting (VSTF) |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557103703321 |
Simões Marcelo Godoy
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
| 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 online resource (258 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
ambient assisted living
artificial intelligence artificial neural network artificial neural networks CNN computational intelligence conditional random fields decision tree deep learning demand response demand side management distributed genetic algorithm drill-in fluid ELR energy energy disaggregation energy efficient coverage energy management ERELM Faster R-CNN feature extraction forecasting genetic algorithm home energy management home energy management systems insulator internet of things Jetson TX2 load load disaggregation LR LSTM machine learning Marsh funnel MCP39F511 mud rheology multiple kernel learning NILM non-intrusive load monitoring nonintrusive load monitoring object detection optimization algorithms plastic viscosity policy making price RELM RPN sandstone reservoirs scheduling self-adaptive differential evolution algorithm sensor network smart cities smart city smart grid smart grids smart metering smart villages static young's modulus support vector machine sustainable development transient signature wireless sensor networks yield point |
| ISBN | 3-03928-890-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404078103321 |
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Lytras Miltiadis
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Energy Data Analytics for Smart Meter Data
| Energy Data Analytics for Smart Meter Data |
| Autore | Reinhardt Andreas |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (346 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
activation current
ambient influences appliance load signatures appliance recognition attention mechanism convolutional neural network Convolutional Neural Network data annotation data privacy data-driven approaches deep learning deep neural network deep neural networks device classification accuracy distance similarity matrix electric load simulation electric vehicle electrical energy electricity theft detection energy consumption energy data analytics energy data processing energy disaggregation ethics exponential distribution fryze power theory Gaussian mixture models GDPR K-means cluster load disaggregation load scheduling machine learning mathematical modeling multi-label learning n/a NILM NILM datasets non-intrusive load monitoring Non-intrusive Load Monitoring Non-Intrusive Load Monitoring (NILM) nontechnical losses Poisson distribution power consumption data power signature pulse generator random forest real-time review satisfaction semi-automatic labeling Shapley Value signature simulation smart energy system smart grid smart grids smart meter smart meter data smart metering smart meters smart power grids solar photovoltaics synthetic data synthetic minority oversampling technique text convolutional neural networks (TextCNN) time-series classification transient load signature transients user-centric applications of energy data V-I trajectory |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557645803321 |
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Reinhardt Andreas
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Microgrids : The Path to Sustainability
| Microgrids : The Path to Sustainability |
| Autore | Anvari-Moghaddam Amjad |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (280 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
aggregated load forecasting
bulk photovoltaic power generation forecasting centralized control architecture command-filtered adaptive backstepping control data pre-processing day-ahead operational scheduling DC bus voltage stabilization DC microgrid desalination dimensionality reduction distributed control architecture distribution network operator double externalities DRNN Bi-LSTM earthquake electricity price constraint electricity theft energy storage energy support error fuzzy control geographic information systems (GIS) hybrid control architecture imbalance data inertia support Iran load disaggregation Micro Grid microgrid MPPT non-intrusive load monitoring (NILM) parameter tuning photovoltaic grid-connected system PI controller power distribution network power flow control strategy power fluctuation power sharing prescribed performance principal component analysis (PCA) PV system reconfigurable microgrid renewable energy resilience improvement planning resource mapping site selection small signal stability smart grid smart home solar potential assessment solar renewable stochastic operation subsidy sustainability thermal load tracking speed VSG water distribution network water-energy-nexus |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Microgrids |
| Record Nr. | UNINA-9910557464603321 |
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Anvari-Moghaddam Amjad
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Situation Awareness for Smart Distribution Systems
| Situation Awareness for Smart Distribution Systems |
| Autore | Ge Leijiao |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (214 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
attention mechanism
attentional mechanism capacity configuration carbon emission climate factors CNN community integrated energy system comprehensive framework conditional value-at-risk convolutional neural network correlation analysis critical technology DC series arc fault denoising auto-encoder distributionally robust optimization (DRO) electric heating electric vehicle energy management high-quality operation and maintenance inertia security region integrated energy system (IES) joint chance constraints lightweight convolutional neural network linear decision rules (LDRs) load disaggregation load forecasting LSTM neural network machine learning multi-objective optimization n/a photovoltaic (PV) system power spectrum estimation power-to-hydrogen receding horizon optimization REDD dataset secondary equipment short text classification short-term load forecasting situation awareness smart distribution network storage sustainable wind-PV-hydrogen-storage microgrid temporal convolutional network thermal comfort TraceBase dataset user dominated demand side response Wasserstein distance wind-photovoltaic-thermal power system |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580204303321 |
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Ge Leijiao
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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