[HTML][HTML] Role of optimization techniques in microgrid energy management systems—A review
Expeditious urbanization, population growth, and technological advancements in the past
decade have significantly impacted the rise of energy demand across the world. Mitigation of …
decade have significantly impacted the rise of energy demand across the world. Mitigation of …
A comprehensive review on energy management, demand response, and coordination schemes utilization in multi-microgrids network
The multi-microgrids (MMGs) concept has recently got more attention due to its features of
accommodating large-scale integration of renewable generation with efficient utilization …
accommodating large-scale integration of renewable generation with efficient utilization …
Optimal scheduling of integrated demand response-enabled community-integrated energy systems in uncertain environments
The community-integrated energy system (CIES) is an essential energy internet carrier that
has recently been the focus of much attention. A scheduling model based on chance …
has recently been the focus of much attention. A scheduling model based on chance …
Optimal scheduling of an isolated microgrid with battery storage considering load and renewable generation uncertainties
By modeling the uncertainty of spinning reserves provided by energy storage with
probabilistic constraints, a new optimal scheduling mode is proposed in this paper for …
probabilistic constraints, a new optimal scheduling mode is proposed in this paper for …
A deep learning model for smart manufacturing using convolutional LSTM neural network autoencoders
A Essien, C Giannetti - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
Time-series forecasting is applied to many areas of smart factories, including machine
health monitoring, predictive maintenance, and production scheduling. In smart factories …
health monitoring, predictive maintenance, and production scheduling. In smart factories …
Energy hub: From a model to a concept–A review
In the past, different energy systems were planned and managed independently. But
nowadays the development of technologies such as efficient multi-generation system, lead …
nowadays the development of technologies such as efficient multi-generation system, lead …
A robust optimization approach for optimal load dispatch of community energy hub
As an important segment in the multi-energy systems, energy hub plays a significant role in
improving the efficiency, flexibility and reliability of the multi-energy systems. In addition …
improving the efficiency, flexibility and reliability of the multi-energy systems. In addition …
Review on scheduling, clustering, and forecasting strategies for controlling electric vehicle charging: Challenges and recommendations
The usage and adoption of electric vehicles (EVs) have increased rapidly in the 21st century
due to the shifting of the global energy demand away from fossil fuels. The market …
due to the shifting of the global energy demand away from fossil fuels. The market …
A multi-agent based energy management solution for integrated buildings and microgrid system
In this paper, an ontology-driven multi-agent based energy management system (EMS) is
proposed for monitoring and optimal control of an integrated homes/buildings and microgrid …
proposed for monitoring and optimal control of an integrated homes/buildings and microgrid …
Multi-objective IGDT-based scheduling of low-carbon multi-energy microgrids integrated with hydrogen refueling stations and electric vehicle parking lots
There is little room for doubt that distributed generation systems including renewable
energy, microgrids (MGs), combined heat and power (CHP) units and storage systems have …
energy, microgrids (MGs), combined heat and power (CHP) units and storage systems have …