In this article, we aim to provide a literature review of different formulations and approaches
to continual reinforcement learning (RL), also known as lifelong or non-stationary RL. We …

To mitigate global warming and energy shortage, integration of renewable energy
generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been …

Balancing electricity generation and consumption is essential for smoothing the power grids.
Any mismatch between energy supply and demand would increase costs to both the service …

With the numerous Internet of Things (IoT) devices, the cloud-centric data processing fails to
meet the requirement of all IoT applications. The limited computation and communication …

Abstract Model predictive control (MPC) offers an optimal control technique to establish and
ensure that the total operation cost of multi-energy systems remains at a minimum while …

Energy storage systems (ESSs) have been considered to be an effective solution to reduce
the spatial and temporal imbalance between the stochastic energy generation and the …

Although demand-side management (DSM) needs to be more customer centred, either with
or without smart technologies (eg smart grid), less attention has been paid to the developing …

Incentive-based demand response (DR) program can induce end users (EUs) to reduce
electricity demand during peak period through rewards. In this study, an incentive-based DR …

This paper proposes a novel taxonomy of coordination strategies for distributed energy
resources at the edge of the electricity grid, based on a systematic analysis of key literature …

Dynamic portfolio optimization is the process of sequentially allocating wealth to a collection
of assets in some consecutive trading periods, based on investors' return-risk profile …