Artificial intelligence evolution in smart buildings for energy efficiency
The emerging concept of smart buildings, which requires the incorporation of sensors and
big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban …
big data (BD) and utilizes artificial intelligence (AI), promises to usher in a new age of urban …
A review on resilience studies in active distribution systems
The world has been experiencing natural disasters and man-made attacks on power system
networks over the past few decades. These occurrences directly affect electricity …
networks over the past few decades. These occurrences directly affect electricity …
Deep reinforcement learning method for demand response management of interruptible load
B Wang, Y Li, W Ming, S Wang - IEEE Transactions on Smart …, 2020 - ieeexplore.ieee.org
As an important part of incentive demand response (DR), interruptible load (IL) can achieve
a rapid response and improve demand side resilience. Yet, model-based optimization …
a rapid response and improve demand side resilience. Yet, model-based optimization …
Coordinated stochastic optimal energy management of grid-connected microgrids considering demand response, plug-in hybrid electric vehicles, and smart …
A microgrid comprises renewable and non-renewable power generating sources,
controllable loads, energy storage devices and works as a single controllable entity. A …
controllable loads, energy storage devices and works as a single controllable entity. A …
From active distribution systems to decentralized microgrids: A review on regulations and planning approaches based on operational factors
Restructuring of power systems along with the integration of renewable energy resources in
electricity networks have transformed traditional distribution networks (DNs) into new active …
electricity networks have transformed traditional distribution networks (DNs) into new active …
Stochastic multi-objectives optimal scheduling of energy hubs with responsive demands in smart microgrids
Energy hubs (EHs) are progressively being implemented in microgrids for local generation,
transfer, and storage of various forms of energy. However, issues have emerged around …
transfer, and storage of various forms of energy. However, issues have emerged around …
Home energy management system embedded with a multi-objective demand response optimization model to benefit customers and operators
This paper proposes a Home Energy Management System (HEMS) that optimizes the load
demand and distributed energy resources. The optimal demand/generation profile is …
demand and distributed energy resources. The optimal demand/generation profile is …
A review of low-voltage renewable microgrids: Generation forecasting and demand-side management strategies
M Aybar-Mejía, J Villanueva, D Mariano-Hernández… - Electronics, 2021 - mdpi.com
It is expected that distribution power systems will soon be able to connect a variety of
microgrids from residential, commercial, and industrial users, and thus integrate a variety of …
microgrids from residential, commercial, and industrial users, and thus integrate a variety of …
An overview of the building energy management system considering the demand response programs, smart strategies and smart grid
Electricity demand is increasing, as a result of increasing consumers in the electricity market.
By growing smart technologies such as smart grid and smart energy management systems …
By growing smart technologies such as smart grid and smart energy management systems …
Implementing Time-of-Use Demand Response Program in microgrid considering energy storage unit participation and different capacities of installed wind power
Penetration of wind units in Microgrid (MG) imposes remarkable challenges on MG
operation. Demand Response Programs (DRPs) and Energy Storage Units are used by MG …
operation. Demand Response Programs (DRPs) and Energy Storage Units are used by MG …