Incorporation of blockchain technology for different smart grid applications: Architecture, prospects, and challenges
Smart grid integrates computer, communication, and sensing technologies into existing
power grid networks to achieve significant informatization-related advantages. It will provide …
power grid networks to achieve significant informatization-related advantages. It will provide …
Review on optimization methodologies in transmission network reconfiguration of power systems for grid resilience
Background When a power system blackout occurs, it affects the economy of the country and
every aspect of human life. Cascading failures can easily occur and cause a major blackout …
every aspect of human life. Cascading failures can easily occur and cause a major blackout …
Investigation and analysis of effective approaches, opportunities, bottlenecks and future potential capabilities for digitalization of energy systems and sustainable …
Taking into consideration of substantial role of energy system and sustainable development
goals (SDGs) in modern society, it is critical to analyse current situation and forthcoming …
goals (SDGs) in modern society, it is critical to analyse current situation and forthcoming …
Artificial intelligence enabled demand response: Prospects and challenges in smart grid environment
Demand Response (DR) has gained popularity in recent years as a practical strategy to
increase the sustainability of energy systems while reducing associated costs. Despite this …
increase the sustainability of energy systems while reducing associated costs. Despite this …
Optimal GWCSO-based home appliances scheduling for demand response considering end-users comfort
Nowadays, the most notable uncertainty for an electricity utility lies in the electrical demand
and generation in power systems. Demand response (DR) accomplishment due to the home …
and generation in power systems. Demand response (DR) accomplishment due to the home …
The progress, impact analysis, challenges and new perceptions for electric power and energy sectors in the light of the COVID-19 pandemic
Understanding the COVID-19 crisis that arose in 2019 is a significant important case study to
prepare scenarios and meet electrical energy consumption and high renewable energy …
prepare scenarios and meet electrical energy consumption and high renewable energy …
Fuzzy compromised solution-based novel home appliances scheduling and demand response with optimal dispatch of distributed energy resources
Due to environmental issues and smart grid development, distributed energy resources,
energy storage systems, and demand response (DR) are gaining attention to reduce the …
energy storage systems, and demand response (DR) are gaining attention to reduce the …
The impact of geopolitical risk, institutional governance and green finance on attaining net-zero carbon emission
This research investigates the impact of geopolitical risk, institutional governance and green
finance on environmental outcomes, specifically focusing on carbon emissions and …
finance on environmental outcomes, specifically focusing on carbon emissions and …
Renewable energy maximization for pelagic islands network of microgrids through battery swap** using deep reinforcement learning
The study proposes an energy management system of pelagic islands network microgrids
(PINMGs) based on reinforcement learning (RL) under the effect of environmental factors …
(PINMGs) based on reinforcement learning (RL) under the effect of environmental factors …
Solution of combined economic emission dispatch problem using improved and chaotic population-based polar bear optimization algorithm
This paper proposes a novel improved polar bear optimization (IPBO) algorithm and
employs it along with polar bear optimization (PBO) and chaotic population-based variants …
employs it along with polar bear optimization (PBO) and chaotic population-based variants …