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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 electronic resource (214 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology |
| Soggetto non controllato |
community integrated energy system
energy management user dominated demand side response conditional value-at-risk electric heating load forecasting thermal comfort attention mechanism LSTM neural network smart distribution network situation awareness high-quality operation and maintenance critical technology comprehensive framework distributionally robust optimization (DRO) integrated energy system (IES) joint chance constraints linear decision rules (LDRs) Wasserstein distance load disaggregation denoising auto-encoder REDD dataset TraceBase dataset machine learning secondary equipment CNN short text classification electric vehicle short-term load forecasting convolutional neural network temporal convolutional network climate factors correlation analysis sustainable wind-PV-hydrogen-storage microgrid power-to-hydrogen receding horizon optimization storage photovoltaic (PV) system DC series arc fault power spectrum estimation attentional mechanism lightweight convolutional neural network capacity configuration wind-photovoltaic-thermal power system carbon emission multi-objective optimization inertia security region |
| 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
Control engineering Machine learning Energy Grids and Networks Control and Systems Theory Machine Learning |
| ISBN | 981-9967-58-9 |
| 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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