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Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast
| Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast |
| Autore | Gómez Vela Francisco A |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (100 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
deep learning
energy demand temporal convolutional network time series forecasting time series forecasting exponential smoothing electricity demand residential building energy efficiency clustering decision tree time-series forecasting evolutionary computation neuroevolution photovoltaic power plant short-term forecasting data processing data filtration k-nearest neighbors regression autoregression |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557776003321 |
Gómez Vela Francisco A
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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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Advances in Public Transport Platform for the Development of Sustainability Cities
| Advances in Public Transport Platform for the Development of Sustainability Cities |
| Autore | Corchado Juan M |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (346 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
optimization models
timetable passenger waiting time vehicle occupancy ratio intelligent transportation systems demand prediction taxi recommendation vehicle social network ride-hailing urban rail transit (URT) exploratory data analysis (EDA) data envelopment analysis (DEA) sustainable transport systems intelligent transportation systems (ITS) big-data applications dynamic bus travel time prediction wide and deep data fusion attention recurrent neural network deep neural networks intelligent transportation railway CPS security safety critical infrastructure carsharing data analysis delays demand public transit taxi complex network analysis centrality measures network robustness ridership patterns clustering analysis passenger flow Barcelona underground artificial intelligence Big Data analytics forecasting systems recommender system Fintech passenger traffic artificial neural network regression analysis reputation algorithm users' reputation transport software application deep learning energy consumption sustainable cities transfer learning wastewater treatment plants unmanned aerial vehicles (UAVs) multi-objective optimization integer programming GLPK variable neighborhood search search and rescue learning recommender system learning object learning videos content-based collaborative filtering users' profiling data extraction natural language processing mapping application time series forecasting HTM regression machine intelligence cyber-attack detection IoT trust energy trading trusted negotiations |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566472003321 |
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Corchado Juan M
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Neural Networks in Agriculture
| Artificial Neural Networks in Agriculture |
| Autore | Kujawa Sebastian |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (283 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Technology, engineering, agriculture |
| Soggetto non controllato |
artificial neural network (ANN)
Grain weevil identification neural modelling classification winter wheat grain artificial neural network ferulic acid deoxynivalenol nivalenol MLP network sensitivity analysis precision agriculture machine learning similarity metric memory deep learning plant growth dynamic response root zone temperature dynamic model NARX neural networks hydroponics vegetation indices UAV neural network corn plant density corn canopy cover yield prediction CLQ GA-BPNN GPP-driven spectral model rice phenology EBK correlation filter crop yield prediction hybrid feature extraction recursive feature elimination wrapper artificial neural networks big data classification high-throughput phenotyping modeling predicting time series forecasting soybean food production paddy rice mapping dynamic time warping LSTM weakly supervised learning cropland mapping apparent soil electrical conductivity (ECa) magnetic susceptibility (MS) EM38 neural networks Phoenix dactylifera L. Medjool dates image classification convolutional neural networks transfer learning average degree of coverage coverage unevenness coefficient optimization high-resolution imagery oil palm tree CNN Faster-RCNN image identification agroecology weeds yield gap environment health crop models soil and plant nutrition automated harvesting model application for sustainable agriculture remote sensing for agriculture decision supporting systems neural image analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557509803321 |
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Kujawa Sebastian
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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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Machine Learning for Energy Systems
| Machine Learning for Energy Systems |
| Autore | Sidorov Denis N |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (272 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
vacuum tank degasser
rule extraction extreme learning machine classification and regression trees wind power: wind speed: T–S fuzzy model: forecasting linearization machine learning photovoltaic output power forecasting hybrid interval forecasting relevance vector machine sample entropy ensemble empirical mode decomposition high permeability renewable energy blockchain technology energy router QoS index of energy flow MOPSO algorithm scheduling optimization Adaptive Neuro-Fuzzy Inference System insulator fault forecast wavelet packets time series forecasting power quality harmonic parameter harmonic responsibility monitoring data without phase angle parameter estimation blockchain energy internet information security forecasting clustering energy systems classification integrated energy system risk assessment component accident set vulnerability hybrid AC/DC power system stochastic optimization renewable energy source Volterra models wind turbine maintenance fatigue power control offshore wind farm Interfacial tension transformer oil parameters harmonic impedance traction network harmonic impedance identification linear regression model data evolution mechanism cast-resin transformers abnormal defects partial discharge pattern recognition hierarchical clustering decision tree industrial mathematics inverse problems intelligent control artificial intelligence energy management system smart microgrid optimization Volterra equations energy storage load leveling cyber-physical systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557678803321 |
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Sidorov Denis N
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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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