Sustainable Energy, Grids and Networks 

TL;DR: In this article, the authors investigate two newly developed stochastic models for time series prediction of energy consumption, namely, CRBM and Factored Conditional Restricted Boltzmann Machine (FCRBM).

TL;DR: A smart grid architecture depicting a smart grid consisting of the main grid and multiple embedded micro-grids is proposed by proposing a “Micro-grid Key Elements Model” (MKEM) and the implementation of the virtualized system integrates solar power generation units, battery energy storage systems with the proposed grid architecture.

TL;DR: In this paper, the authors present for the first time the reliability modelling of battery energy storage systems and dynamic thermal rating (DTR) systems for wind energy in power networks, and the results show that both systems can lower demand losses and increase the saved, supported and delivered wind energy depending on the settings of the two systems.

TL;DR: In this paper, a model to investigate methods to increase BESS potential in providing primary control reserve (PCR) is presented, based on two different operating options: (i) variable-droop, meaning the droop-control is allowed to vary in time in order to avoid state of charge saturations and guarantee PCR availability; (ii) energy arbitrage, meaning that the battery is charged and discharged when economically favorable.

TL;DR: In this article, the authors investigated the reliability implications of deploying demand response (DR) and electrical energy storage (EES) at the system level, including the impacts of characteristics such as the energy payback and flexibility of DR or the capacity and efficiency of EES.