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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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Empirical Finance
| Empirical Finance |
| Autore | Hamori Shigeyuki |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (276 p.) |
| Soggetto non controllato |
algorithmic trading
ARDL asset pricing model asymmetric dependence ATR bagging bank credit bankruptcy prediction boosting causality-in-variance city banks cointegration convolutional neural networks copula credit risk cross-correlation function crude oil futures prices forecasting currency crisis data mining deep learning deep neural network dependence structure earnings management earnings manipulation earnings quality ensemble learning exchange rate exports financial and non-financial variables financial market stress flight to quality futures market global financial crisis gold return housing and stock markets housing loans housing price inertia initial public offering institutional investors' shareholdings IPO Japanese yen latency liquidity risk premium LSTM MACD machine learning market microstructure n/a natural gas neural network panel data model piecewise regression model predictive accuracy price discovery quantile regression random forest random forests real estate development loans robust regression short-term forecasting spark spread statistical arbitrage stop loss structural break SVM take profit text mining text similarity TVP-VAR model US dollar utility of international currency Vietnam volatility wavelet transform wholesale electricity |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910346675203321 |
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Hamori Shigeyuki
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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