화학공학소재연구정보센터
검색결과 : 139건
No. Article
1 Smart and intelligent energy monitoring systems: A comprehensive literature survey and future research guidelines
Hussain T, Ullah FUM, Muhammad K, Rho S, Ullah A, Hwang E, Moon J, Baik SW
International Journal of Energy Research, 45(3), 3590, 2021
2 Energy management and techno-economic assessment of a predictive battery storage system applying a load levelling operational strategy in island systems
Iliadis P, Ntomalis S, Atsonios K, Nesiadis A, Nikolopoulos N, Grammelis P
International Journal of Energy Research, 45(2), 2709, 2021
3 A hybrid short-term load forecasting model and its application in ground source heat pump with cooling storage system
Xie YW, Hu PF, Zhu N, Lei F, Xing L, Xu LH, Sun QM
Renewable Energy, 161, 1244, 2020
4 A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm
He FF, Zhou JZ, Feng ZK, Liu GB, Yang YQ
Applied Energy, 237, 103, 2019
5 Probabilistic load forecasting for buildings considering weather forecasting uncertainty and uncertain peak load
Xu L, Wang SW, Tang R
Applied Energy, 237, 180, 2019
6 A hybrid model based on modified multi-objective cuckoo search algorithm for short-term load forecasting
Wu ZC, Zhao XC, Ma YQ, Zhao X
Applied Energy, 237, 896, 2019
7 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
8 Sequential grid approach based support vector regression for short-term electric load forecasting
Yang YL, Che JX, Deng CZ, Li L
Applied Energy, 238, 1010, 2019
9 Intelligent load pattern modeling and denoising using improved variational mode decomposition for various calendar periods
Cui J, Yu RZ, Zhao DB, Yang JY, Ge WC, Zhou XM
Applied Energy, 247, 480, 2019
10 Long-term electricity consumption forecasting based on expert prediction and fuzzy Bayesian theory
Tang L, Wang XF, Wang XL, Shao CC, Liu SY, Tian SJ
Energy, 167, 1144, 2019