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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 online resource (258 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
ambient assisted living
artificial intelligence artificial neural network artificial neural networks CNN computational intelligence conditional random fields decision tree deep learning demand response demand side management distributed genetic algorithm drill-in fluid ELR energy energy disaggregation energy efficient coverage energy management ERELM Faster R-CNN feature extraction forecasting genetic algorithm home energy management home energy management systems insulator internet of things Jetson TX2 load load disaggregation LR LSTM machine learning Marsh funnel MCP39F511 mud rheology multiple kernel learning NILM non-intrusive load monitoring nonintrusive load monitoring object detection optimization algorithms plastic viscosity policy making price RELM RPN sandstone reservoirs scheduling self-adaptive differential evolution algorithm sensor network smart cities smart city smart grid smart grids smart metering smart villages static young's modulus support vector machine sustainable development transient signature wireless sensor networks yield point |
| 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 online resource (212 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
artificial market simulation
balancing power market bidding agent bidding strategy blockchain cashflow management of electricity businesses cooperative mechanism cyclic cubic spline day-ahead market demonstration experiment digital grid distributed energy resources distributed energy resources (DER) electric vehicle electric vehicles electricity derivatives and forwards electricity load electricity markets electricity price electricity price forecasting empirical simulations functional autoregressive model functional final prediction error (FFPE) functional principle component analysis hardware control home energy management systems intra-day market liquidity market maker microgrid minimum variance hedge multi agent system n/a naive method non-parametric regression optimal hedging using nonparametric techniques P2P electricity market P2P energy trading peer to peer energy market peer-to-peer energy trading price fluctuation renewable energy retailers and power producers solar power and thermal energy spline basis functions vector autoregressive model weather derivatives wind energy |
| 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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