期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
A new hybrid AI optimal management method for renewable energycommunities
1
作者 Francesco Conte Federico D’Antoni +1 位作者 Gianluca Natrella mario merone 《Energy and AI》 2022年第4期103-114,共12页
In this study, we propose a hybrid AI optimal method to improve the efficiency of energy managementin a smart grid such as Renewable Energy Community. This method adopts a Time Delay Neural Networkto forecast the futu... In this study, we propose a hybrid AI optimal method to improve the efficiency of energy managementin a smart grid such as Renewable Energy Community. This method adopts a Time Delay Neural Networkto forecast the future values of the energy features in the community. Then, these forecasts are used by astochastic Model Predictive Control to optimize the community operations with a proper control strategy ofBattery Energy Storage System. The results of the predictions performed on a public dataset with a predictionhorizon of 24 h return a Mean Absolute Error of 1.60 kW, 2.15 kW, and 0.30 kW for photovoltaic generation,total energy consumption, and common services, respectively. The model predictive control fed with suchpredictions generates maximum income compared to the competitors. The total income is increased by 18.72%compared to utilizing the same management system without exploiting predictions from a forecasting method. 展开更多
关键词 Artificial Intelligence Deep learning Renewable Energy Community Battery Energy Storage System management Model Predictive Control
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部