화학공학소재연구정보센터
검색결과 : 52건
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 Greener, more integrated, and less volatile? A quantile regression analysis of Italian wholesale electricity prices
Sapio A
Energy Policy, 126, 452, 2019
7 Unveiling the heterogeneous effect of energy taxes and income on residential energy consumption
Borozan D
Energy Policy, 129, 13, 2019
8 Heterogeneity in German Residential Electricity Consumption: A quantile regression approach
Frondel M, Sommer S, Vance C
Energy Policy, 131, 370, 2019
9 Probabilistic forecasting of high-resolution clear-sky index time-series using a Markov-chain mixture distribution model
Munkhammar J, van der Meer D, Widen J
Solar Energy, 184, 688, 2019
10 Probabilistic characterization of electricity consumer responsiveness to economic incentives
Valles M, Bello A, Reneses J, Frias P
Applied Energy, 216, 296, 2018