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Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast
| Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast |
| Autore | Gómez Vela Francisco A |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (100 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
autoregression
clustering data filtration data processing decision tree deep learning electricity demand energy demand energy efficiency evolutionary computation exponential smoothing forecasting k-nearest neighbors n/a neuroevolution photovoltaic power plant regression residential building short-term forecasting temporal convolutional network time series time series forecasting time-series forecasting |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557776003321 |
Gómez Vela Francisco A
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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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Blockchain and Cryptocurrencies
| Blockchain and Cryptocurrencies |
| Autore | Nadarajah Saralees |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (158 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
algorithms
ARIMA artificial neural network autoregression bitcoin Bitcoin blockchain Blockchain connectedness contagion effect Copulas correlations cryptocurrencies Cryptocurrencies cryptocurrency detrended cross-correlation analysis Digital Currencies efficient market hypothesis endogenous Ethereum exogenous variables Financial analysis fraud high frequency Hurst exponent impact liquidity market liquidity predictive modes regulation Risk management risks simulation spectral analysis spill overs spillover risks static forecast Student's-t survey time-frequency-dynamic time-series analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557506503321 |
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Nadarajah Saralees
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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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