Actual energy consumptionpatterns largely depend on the details of consuming behaviorwhich differsfrom one customer to another on a daily basis.Big data analytics iscritical forsmart grids to improve the accuracy which plays a significant role in energy management in the future. Many power operations are involved in multiple uncertainties from different sources, such as unit commitment, demand response, economic dispatch and load frequency control. This sessionis expected to present data-driven methodologieswhere data acquired from smart metersare characterized by data analysis to make optimaloperational strategyin smart grid.
Topics of the Session:
Big data analysis in smart grid
Data driven theoretic framework and model in smart grid
Data driven load frequency control
Data driven PEV charging/discharging
Data driven battery management
Hybridload forecasting
10月29日
2017
11月01日
2017
注册截止日期
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