AB-Net: A Novel Deep Learning Assisted Framework for Renewable Energy Generation Forecasting Renewable energy (RE) power plants are deployed globally because the renewable energy sources (RESs) are sustainable, clean, and environmentally friendly. ... N Khan,FUM Ullah,Haq, Ijaz UlKhan, Samee Ullah...
The acceleration in clean, renewable energy power generation comes not a moment too soon for policy-makers concerned with climate change.
72. Quantifying the reduction in power variability of co-located offshore wind-wave farms 73. Combining transfer learning and constrained long short-term memory for power generation forecasting of newly-constructed photovoltaic plants 74. An experimental study of the concentrator photovoltaic/thermoelectric...
72. Progress in regional PV power forecasting: A sensitivity analysis on the Italian case study 73. Mitigating poor environmental quality with technology, renewable and entrepreneur policies: A symmetric and asymmetric approaches 74. Evaluation of the physical-mechanical and energy properties of coffee h...
Propelled by the actual demand from the renewable energy industry, the progress of literature on quantitative forecasting models during the past years is extensive. Research provides a vast output of papers on wind speed, wind power, solar irradiance and solar power forecasting models, accompanied by...
In: 3rd Renewable Power Generation Conference (RPG 2014), Naples, 24-25 Sept 2014. Institution of Engineering and Technology (IET). doi:10.1049/cp... A Djoudi,H Chekireb,S Bacha,... - Renewable Power Generation Conference 被引量: 7发表: 2014年 APPLICATION OF MODERN GEOMETRIC METHODS FOR...
number of differences in the ARIMA prediction model, wind and solar power generation series can be converted into a stationary series, convenient for prediction analysis. In the literature, the ARIMA model is widely used in short-term renewable forecasting and is validated to yield satisfactory ...
The penetration of renewable energy sources (RESs), e.g., wind and solar power, has significantly increased during the past decades due to their environmental and economic benefits. Renewable generation has accounted for about 38.2% of total electricity production around the world by April 2023 [...
Policy makers are increasingly supporting the development of renewable electricity power generation projects not only for environmental concerns but also for economic reasons. Several studies have indeed documented that renewable electricity can be a viable economic alternative to electricity power generation ...
12. Photovoltaic power forecasting: A hybrid deep learning model incorporating transfer learning strategy 13. Increasing the fatigue life of offshore wind turbine jacket structures using yaw stiffness and damping 14. A probabilistic framework for the techno-economic assessment of smart energy hubs for ...