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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 electronic resource (258 p.) |
| Soggetto non controllato |
artificial neural network
home energy management systems conditional random fields LR ELR energy disaggregation artificial intelligence genetic algorithm decision tree static young’s modulus price scheduling self-adaptive differential evolution algorithm Marsh funnel energy yield point non-intrusive load monitoring mud rheology distributed genetic algorithm MCP39F511 Jetson TX2 sustainable development artificial neural networks transient signature load disaggregation smart villages ambient assisted living smart cities demand side management smart city CNN wireless sensor networks object detection drill-in fluid ERELM sandstone reservoirs RPN deep learning RELM smart grids multiple kernel learning load feature extraction NILM energy management energy efficient coverage insulator Faster R-CNN home energy management smart grid LSTM smart metering optimization algorithms forecasting plastic viscosity machine learning computational intelligence policy making support vector machine internet of things sensor network nonintrusive load monitoring demand response |
| ISBN | 3-03928-890-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404078103321 |
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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Forecasting and Risk Management Techniques for Electricity Markets
| Forecasting and Risk Management Techniques for Electricity Markets |
| Autore | Yamada Yuji |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (212 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
electricity markets
non-parametric regression minimum variance hedge spline basis functions cyclic cubic spline weather derivatives distributed energy resources (DER) P2P energy trading cooperative mechanism renewable energy multi agent system blockchain cashflow management of electricity businesses electricity derivatives and forwards retailers and power producers solar power and thermal energy optimal hedging using nonparametric techniques empirical simulations peer-to-peer energy trading distributed energy resources microgrid digital grid bidding strategy electricity price electricity load electricity price forecasting wind energy day-ahead market intra-day market balancing power market peer to peer energy market hardware control demonstration experiment home energy management systems electric vehicles bidding agent electric vehicle functional autoregressive model functional principle component analysis vector autoregressive model functional final prediction error (FFPE) naive method P2P electricity market market maker liquidity price fluctuation artificial market simulation |
| ISBN | 3-0365-5184-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619464203321 |
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Yamada Yuji
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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