Adaptive Methods for Short-Term Electricity Load Forecasting During COVID-19 Lockdown in France [0.03%]
法国新冠封锁期间的短期电力负荷预测自适应方法研究
David Obst,Joseph de Vilmarest,Yannig Goude
David Obst
The coronavirus disease 2019 (COVID-19) pandemic has urged many governments in the world to enforce a strict lockdown where all nonessential businesses are closed and citizens are ordered to stay at home. One of the consequences of this pol...
A Markovian influence graph formed from utility line outage data to mitigate large cascades [0.03%]
基于停电数据的马尔可夫影响图用于抑制大范围连锁故障发生
Kai Zhou,Ian Dobson,Zhaoyu Wang et al.
Kai Zhou et al.
We use observed transmission line outage data to make a Markovian influence graph that describes the probabili- ties of transitions between generations of cascading line outages. Each generation of a cascade consists of a single line outage...
MMSE-based analytical estimator for uncertain power system with limited number of measurements [0.03%]
基于MMSE的含不确定性电力系统有限量测解析估计算法
Hasnae Bilil,Hamid Gharavi
Hasnae Bilil
The expected penetration of a large number of renewable distributed energy resources (DER's) is driving next generation power systems toward uncertainties that can have a huge impact on the reliability and complexities of state estimation. ...
Hasnae Bilil,Ghassane Aniba,Hamid Gharavi
Hasnae Bilil
In this paper a new approach which is based on a collaborative system of MicroGrids (MG's), is proposed to enable household appliance scheduling. To achieve this, appliances are categorized into flexible and non-flexible Deferrable Loads (D...