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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 electronic resource (202 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
droop curve
frequency regulation fuzzy logic the rate of change of frequency reserve power smart grid energy Internet convolutional neural network decision optimization deep reinforcement learning electric load forecasting non-dominated sorting genetic algorithm II multi-layer perceptron adaptive neuro-fuzzy inference system meta-heuristic algorithms automatic generation control fuzzy neural network control thermostatically controlled loads back propagation algorithm particle swarm optimization load disaggregation artificial intelligence cognitive meters machine learning state machine NILM non-technical losses semi-supervised learning knowledge embed deep learning distribution network equipment condition assessment multi information source fuzzy iteration current balancing algorithm level-shifted SPWM medium-voltage applications multilevel current source inverter motor drives phase-shifted carrier SPWM STATCOM electricity forecasting CNN–LSTM very short-term forecasting (VSTF) short-term forecasting (STF) medium-term forecasting (MTF) long-term forecasting (LTF) asynchronous motor linear active disturbance rejection control error differentiation vector control renewable energy solar power plant Data Envelopment Analysis (DEA) Fuzzy Analytical Network Process (FANP) Fuzzy Theory |
| 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 electronic resource (324 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
short-term load forecasting
demand-side management pattern similarity hierarchical short-term load forecasting feature selection weather station selection load forecasting special days regressive models electric load forecasting data preprocessing technique multiobjective optimization algorithm combined model Nordic electricity market electricity demand component estimation method univariate and multivariate time series analysis modeling and forecasting deep learning wavenet long short-term memory demand response hybrid energy system data augmentation convolution neural network residential load forecasting forecasting time series cubic splines real-time electricity load seasonal patterns Load forecasting VSTLF bus load forecasting DBN PSR distributed energy resources prosumers building electric energy consumption forecasting cold-start problem transfer learning multivariate random forests random forest electricity consumption lasso Tikhonov regularization load metering preliminary load short term load forecasting performance criteria power systems cost analysis day ahead feature extraction deep residual neural network multiple sources electricity |
| 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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