Data-Driven Stochastic Scheduling for Energy Integrated Systems

dSENSE: Data-driven Stochastic Energy Management for Wireless Sensor Platforms

Wireless sensor networks are being widely deployed for providing physical measurements to diverse applications. Energy is a precious resource in such networks as nodes in wireless sensor platforms are typically powered by batteries with limited power and high replacement cost. This paper presents dSENSE: a data-driven approach for energy management in sensor platforms. dSENSE is a node-level po...

Energy Scheduling in Power Market under Stochastic Dependence Structure

Since the emergence of power market, the target of power generating utilities has mainly switched from cost minimization to revenue maximization. They dispatch their power energy generation units in the uncertain environment of power market. As a result, multi-stage stochastic programming has been applied widely by many power generating agents as a suitable tool for dealing with self-scheduling...

Stochastic Optimal Operation and Risk Analysis for Integrated Power and Gas Systems

The increment integration of renewable distributed energies means the desired operation of the electric power system will significantly depend on the performance of primary energy. In this order, an integrated approach for mutual interaction between the electricity and natural gas systems has been considered for the purpose of ensuring optimal energy exchanging between the electric power system...

Data - Driven Batch Scheduling

energy scheduling in power market under stochastic dependence structure

since the emergence of power market, the target of power generating utilities has mainly switched from cost minimization to revenue maximization. they dispatch their power energy generation units in the uncertain environment of power market. as a result, multi-stage stochastic programming has been applied widely by many power generating agents as a suitable tool for dealing with self-scheduling...