With the assistance of machine learning, difficult tasks can be completed entirely on their
own. In a smart grid (SG), computers and mobile devices may make it easier to control the …

Machine learning can be used to automate a wide range of tasks. Smart buildings, which
use the Internet of Things (IoT) to connect building operations, enable activities, such as …

With the ongoing transformation of electricity generation from large thermal power plants to
smaller renewable energy sources (RESs), such as wind and solar, modern renewable …

With the increasing penetration of distributed energy resources (DERs) and extensive usage
of information and communications technology (ICT) in decision-making, mechanisms to …

The proliferation of distributed energy resources (DERs) and the deployment of advanced
sensing and control technologies in electric power distribution systems calls for coordinated …

Traditional optimization-based voltage controllers for distribution grid applications require
consumption/production values from the meters as well as accurate grid data (ie, line …

Featured Application Medium voltage networks that face voltage regulation issues due to
high penetration of distributed generation. Abstract This paper makes use of machine …

新能源和负荷波动给无功优化带来更大的挑战. 考虑新能源和负荷时变特性,
将无功优化问题构建成**化学**问题. 提出了约束–目标划分和目标预设的方法设计奖励函数 …

Low voltage distribution networks have not been traditionally designed to accommodate the
large-scale integration of decentralized photovoltaic (PV) generations. The bidirectional …

The resource adequacy of the interconnected Central Western Europe (CWE) electricity
system is assessed considering the cross-border exchange capacities defined through the …