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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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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 |
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Gabaldón Antonio
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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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