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Situation Awareness for Smart Distribution Systems
| Situation Awareness for Smart Distribution Systems |
| Autore | Ge Leijiao |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (214 p.) |
| Soggetto topico |
History of engineering and technology
Technology: general issues |
| Soggetto non controllato |
attention mechanism
attentional mechanism capacity configuration carbon emission climate factors CNN community integrated energy system comprehensive framework conditional value-at-risk convolutional neural network correlation analysis critical technology DC series arc fault denoising auto-encoder distributionally robust optimization (DRO) electric heating electric vehicle energy management high-quality operation and maintenance inertia security region integrated energy system (IES) joint chance constraints lightweight convolutional neural network linear decision rules (LDRs) load disaggregation load forecasting LSTM neural network machine learning multi-objective optimization n/a photovoltaic (PV) system power spectrum estimation power-to-hydrogen receding horizon optimization REDD dataset secondary equipment short text classification short-term load forecasting situation awareness smart distribution network storage sustainable wind-PV-hydrogen-storage microgrid temporal convolutional network thermal comfort TraceBase dataset user dominated demand side response Wasserstein distance wind-photovoltaic-thermal power system |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910580204303321 |
Ge Leijiao
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Smart Power Distribution Network : Situation Awareness, Planning, and Operation / / by Leijiao Ge, Yuanzheng Li
| Smart Power Distribution Network : Situation Awareness, Planning, and Operation / / by Leijiao Ge, Yuanzheng Li |
| Autore | Ge Leijiao |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (245 pages) |
| Disciplina | 321.319 |
| Altri autori (Persone) | LiYuanzheng |
| Collana | Power Systems |
| Soggetto topico |
Electric power distribution
Automatic control Machine learning Energy Grids and Networks Control and Systems Theory Machine Learning |
| ISBN |
9789819967582
9819967589 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. System overview -- Chapter 2. Smart distribution power network situation awareness -- Chapter 3. Photovoltaic prediction, virtual collection -- Chapter 4. Multi-energy load forecasting of integrated energy system -- Chapter 5. Optimal planning of energy storage considering uncertainty of load and wind generation -- Chapter 6. Energy supplying facilities planning for electric vehicles -- Chapter 7. Multiple equipment planning for integrated energy system -- Chapter 8. ay-ahead risk averse market clearing considering demand response -- Chapter 9. Optimal operation via cooperative energy and reserve scheduling -- Chapter 10. Optimal interaction strategy for vehicle-to-grid -- Chapter 11. Concluding remarks. |
| Record Nr. | UNINA-9910747598903321 |
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Ge Leijiao
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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