| 000 | 00873nam a2200133Ia 4500 | ||
|---|---|---|---|
| 008 | 220620s9999||||xx |||||||||||||| ||und|| | ||
| 020 | _a9783040000000 | ||
| 245 | 0 | _aAdvanced Optimization Methods and Big Data Applications in Energy Demand Forecast | |
| 546 | _aEnglish[eng] | ||
| 650 | _adeep learning||energy demand||temporal convolutional network||time series forecasting||time series||forecasting||exponential smoothing||electricity demand||residential building||energy efficiency||clustering||decision tree||time-series forecasting||evolutionary computation||neuroevolution||photovoltaic power plant||short-term forecasting||data processing||data filtration||k-nearest neighbors||regression||autoregression||n/a | ||
| 700 | _aGómez Vela, Francisco A.||GarcÃa-Torres, Miguel||Divina, Federico | ||
| 856 | _uhttps://mdpi.com/books/pdfview/book/3931 | ||
| 942 | _cEB | ||
| 999 |
_c28285 _d28285 |
||