1 |
Improved ECMWF forecasts of direct normal irradiance: A tool for better operational strategies in concentrating solar power plants Lopes FM, Conceicao R, Silva HG, Salgado R, Collares-Pereira M Renewable Energy, 163, 755, 2021 |
2 |
Power forecasting-based coordination dispatch of PV power generation and electric vehicles charging in microgrid Hao Y, Dong L, Liang J, Liao XZ, Wang LJ, Shi LF Renewable Energy, 155, 1191, 2020 |
3 |
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 |
4 |
A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting Hao Y, Tian CS Applied Energy, 238, 368, 2019 |
5 |
Will Trump's coal revival plan work? - Comparison of results based on the optimal combined forecasting technique and an extended IPAT forecasting technique Wang Q, Li SY, Li RR Energy, 169, 762, 2019 |
6 |
A novel combination forecasting model for wind power integrating least square support vector machine, deep belief network, singular spectrum analysis and locality-sensitive hashing Zhang YC, Le J, Liao XB, Zheng F, Li YH Energy, 168, 558, 2019 |
7 |
Sustainable and reliable design of reverse osmosis desalination with hybrid renewable energy systems through supply chain forecasting using recurrent neural networks Li Q, Loy-Benitez J, Nam K, Hwangbo S, Rashidi J, Yoo C Energy, 178, 277, 2019 |
8 |
A novel hybrid model based on neural network and multi-objective optimization for effective load forecast Singh P, Dwivedi P Energy, 182, 606, 2019 |
9 |
Integrating heuristic time series with modified grey forecasting for renewable energy in Taiwan Lu SL Renewable Energy, 133, 1436, 2019 |
10 |
On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages Appino RR, Ordiano JAG, Mikut R, Faulwasser T, Hagenmeyer V Applied Energy, 210, 1207, 2018 |