화학공학소재연구정보센터
검색결과 : 54건
No. Article
1 Probabilistic individual load forecasting using pinball loss guided LSTM
Wang Y, Gan DH, Sun MY, Zhang N, Lu ZX, Kang CQ
Applied Energy, 235, 10, 2019
2 Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network
He YY, Qin Y, Wang S, Wang X, Wang C
Applied Energy, 233, 565, 2019
3 A D-vine copula quantile regression approach for the prediction of residential heating energy consumption based on historical data
Niemierko R, Toppel J, Trankler T
Applied Energy, 233, 691, 2019
4 Prediction and explanation of the formation of the Spanish day-ahead electricity price through machine learning regression
Diaz G, Coto J, Gomez-Aleixandre J
Applied Energy, 239, 610, 2019
5 Energy intensity and its differences across China's regions: Combining econometric and decomposition analysis
Guang FT, He Y, Le Wen, Sharp B
Energy, 180, 989, 2019
6 Wind speed forecasting based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation
Zhang ZD, Qin H, Liu YQ, Yao LQ, Yu X, Lu JT, Jiang ZQ, Feng ZK
Energy Conversion and Management, 196, 1395, 2019
7 Greener, more integrated, and less volatile? A quantile regression analysis of Italian wholesale electricity prices
Sapio A
Energy Policy, 126, 452, 2019
8 Unveiling the heterogeneous effect of energy taxes and income on residential energy consumption
Borozan D
Energy Policy, 129, 13, 2019
9 Heterogeneity in German Residential Electricity Consumption: A quantile regression approach
Frondel M, Sommer S, Vance C
Energy Policy, 131, 370, 2019
10 Causality in quantiles and dynamic relations in energy markets: (De)tails matter
Kyritsis E, Andersson J
Energy Policy, 133, 2019