Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Data-Intensive Computing in Smart Microgrids
| Data-Intensive Computing in Smart Microgrids |
| Autore | Herodotou Herodotos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (238 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
AMI
automatic generation control battery energy storage systems big data analytics cloud computing data-intensive smart application deep learning demand response demand response programs electricity consumption electricity load forecasting electricity theft detection electricity thefts energy management energy trade contract Extreme Learning Machine feature selection fog computing Genetic Algorithm green community green data center Grid Search imbalanced data intelligent control methods load forecasting microgrid multi-objective energy optimization n/a NB-PLC optimization techniques photovoltaic processing time real time power management real-time systems renewable energy renewable energy sources resource allocation response time scheduling SG single/multi-area power system smart grid smart grids smart meter soft computing control methods Support Vector Machine TL virtual inertial control wind |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557603203321 |
Herodotou Herodotos
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Emerging and Advanced Green Energy Technologies for Sustainable and Resilient Future Grid
| Emerging and Advanced Green Energy Technologies for Sustainable and Resilient Future Grid |
| Autore | Salkuti Surender Reddy |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (416 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
islanded mode
microgrid decentralized control robust tracking invariant set thermal energy storage parabolic dish latent heat phase change material heat transfer fluid bio-inspired algorithms wireless sensor network genetic algorithm particle swarm optimization advanced metering infrastructure blockchain Ethereum isolated DC-DC converter photovoltaics LLC resonant converter dual-bridge wide voltage range power optimizer coordinated control vehicle-to-grid primary frequency control secondary frequency control state of charge decentralized Simulink model dimensionality reduction simple linear regression multiple linear regression polynomial regression load forecasting VSC (voltage source converter) PLL (Phase-Locked Loop) weak grid small signal stability eigenvalues demand-side management low-power consumer electronic appliances low-voltage distribution system non-intrusive identification of appliance usage patterns power quality smart home true power factor total harmonic distortion renewable energy sources energy management system communication technologies microgrid standards third-order sliding mode control asynchronous generators variable speed dual-rotor wind turbine direct field-oriented control integral-proportional transformer internal fault currents magnetic inrush currents extended Kalman filter (EKF) algorithm harmonic estimation DC microgrid fault cluster DC/DC converter fault current limiter (FCL) multi-objective renewable energy profit-based scheduling Equilibrium Optimizer smart grid campus microgrid batteries prosumer market distributed generation renewable energy resources energy storage system distributed energy resources demand response load clustering techniques sizing methodologies digital signal processing green buildings spectral analysis spectral kurtosis life-cycle cost optimal scheduling reinforcement learning enabling technologies energy community smart meter nanogrid platform power cloud |
| ISBN | 3-0365-5770-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910637792903321 |
|
Salkuti Surender Reddy
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Integration of Renewable and Distributed Energy Resources in Power Systems
| Integration of Renewable and Distributed Energy Resources in Power Systems |
| Autore | Román Tomás Gómez San |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (228 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptability planning
attack detection congestion management continuity of supply controlled charging cyber-physical systems decentralized control delayed charging demand response demand side management distributed energy resources (DERs) distributed generation curtailment dynamic pricing ecological infrastructures electric vehicles emergency control grid impact high penetration integrated assessment for public space inverter regulation load flow analysis load forecasting low-voltage distribution network machine learning Micro-grids microgrid microgrids optimisation methods peak shaving photovoltaics power distribution power quality power system operation power system planning power system security power systems power systems stability recloser reinforcement learning renewable electricity distribution for public space renewable energy renewable energy integration renewable energy sources small hydropower plants source-grid coordination sustainability assessment model synchronous coupler tripartite altruism uncontrolled charging urban renewable energy V2B V2G V2H valley filling |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557544203321 |
|
Román Tomás Gómez San
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Short-Term Load Forecasting 2019
| Short-Term Load Forecasting 2019 |
| Autore | Gabaldón Antonio |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (324 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
building electric energy consumption forecasting
bus load forecasting cold-start problem combined model component estimation method convolution neural network cost analysis cubic splines data augmentation data preprocessing technique day ahead DBN deep learning deep residual neural network demand response demand-side management distributed energy resources electric load forecasting electricity electricity consumption electricity demand feature extraction feature selection forecasting hierarchical short-term load forecasting hybrid energy system lasso load forecasting Load forecasting load metering long short-term memory modeling and forecasting multiobjective optimization algorithm multiple sources multivariate random forests Nordic electricity market pattern similarity performance criteria power systems preliminary load prosumers PSR random forest real-time electricity load regressive models residential load forecasting seasonal patterns short term load forecasting short-term load forecasting special days Tikhonov regularization time series transfer learning univariate and multivariate time series analysis VSTLF wavenet weather station selection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557494303321 |
|
Gabaldón Antonio
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
|
Ge Leijiao
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||