1 |
Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm Liu H, Duan Z, Han FZ, Li YF Energy Conversion and Management, 156, 525, 2018 |
2 |
Diverse dynamical characteristics across the frequency spectrum of wind speed fluctuations Drisya GV, Asokan K, Kumar KS Renewable Energy, 119, 540, 2018 |
3 |
Monitoring local membrane fouling mitigation by fluidized GAC in lab-scale and pilot-scale AnFMBRs Wang JW, Wu B, Liu Y, Fane AG, Chew JW Separation and Purification Technology, 199, 331, 2018 |
4 |
Short-term prediction of electric demand in building sector via hybrid support vector regression Chen YB, Tan HW Applied Energy, 204, 1363, 2017 |
5 |
Day-ahead prediction of hourly electric demand in non-stationary operated commercial buildings: A clustering-based hybrid approach Chen YB, Tan HW, Berardi U Energy and Buildings, 148, 228, 2017 |
6 |
Research on short-term and ultra-short-term cooling load prediction models for office buildings Ding Y, Zhang Q, Yuan TH Energy and Buildings, 154, 254, 2017 |
7 |
Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network Wang HZ, Yi HY, Peng JC, Wang GB, Liu YT, Jiang H, Liu WX Energy Conversion and Management, 153, 409, 2017 |
8 |
A hybrid wind power forecasting model based on data mining and wavelets analysis Azimi R, Ghofrani M, Ghayekhloo M Energy Conversion and Management, 127, 208, 2016 |
9 |
A hybrid short-term load forecasting with a new input selection framework Ghofrani M, Ghayekhloo M, Arabali A, Ghayekhloo A Energy, 81, 777, 2015 |
10 |
Comparison of new hybrid FEEMD-MLP, FEEMD-ANFIS, Wavelet Packet-MLP and Wavelet Packet-ANFIS for wind speed predictions Liu H, Tian HQ, Li YF Energy Conversion and Management, 89, 1, 2015 |