The role of smart communities integrated with renewable energy resources, smart homes and electric vehicles in providing ancillary services: A tri-stage optimization …
Z Tong, SA Mansouri, S Huang, AR Jordehi… - Applied Energy, 2023 - Elsevier
Increasing the connection of renewable energy sources and electric vehicles (EVs) to
modern cities with smart homes (SHs) makes the need for new mechanisms to coordinate …
modern cities with smart homes (SHs) makes the need for new mechanisms to coordinate …
A tri-layer stochastic framework to manage electricity market within a smart community in the presence of energy storage systems
In recent years, with the restructuring of the electricity market, the main goal of all market
participants is to maximize their profits. Among these, the stability of the system as well as …
participants is to maximize their profits. Among these, the stability of the system as well as …
A three-stage mechanism for flexibility-oriented energy management of renewable-based community microgrids with high penetration of smart homes and electric …
X Zhou, SA Mansouri, AR Jordehi… - Sustainable Cities and …, 2023 - Elsevier
A multi-stage mechanism for flexibility-oriented energy management (FOEM) of the
distribution system is developed in this article, which main novelty is providing the flexibility …
distribution system is developed in this article, which main novelty is providing the flexibility …
Trading strategy and benefit optimization of load aggregators in integrated energy systems considering integrated demand response: A hierarchical Stackelberg game
S Li, L Zhang, L Nie, J Wang - Energy, 2022 - Elsevier
With the rise of integrated energy systems, the load aggregator's role in forming a
connection between the demand and supply sides has been gaining increasing importance …
connection between the demand and supply sides has been gaining increasing importance …
Optimal planning and operation of grid-connected PV/CHP/battery energy system considering demand response and electric vehicles for a multi-residential complex …
MR Elkadeem, MA Abido - Journal of Energy Storage, 2023 - Elsevier
Ongoing technological innovations and communication infrastructure have rapidly increased
the active participation of energy customers and utilization of renewable energy sources and …
the active participation of energy customers and utilization of renewable energy sources and …
Dual-Stackelberg game-based trading in community integrated energy system considering uncertain demand response and carbon trading
M Zhang, J Yang, P Yu, GDA Tinajero, Y Guan… - Sustainable Cities and …, 2024 - Elsevier
Given the uncertainties in integrated demand response and carbon trading mechanism, this
paper utilizes a dual-Stackelberg game framework to propose trading strategies among …
paper utilizes a dual-Stackelberg game framework to propose trading strategies among …
A review on active customers participation in smart grids
Industrial., commercial, and residential facilities are progressively adopting automation and
generation capabilities. By having flexible demand and renewable energy generation …
generation capabilities. By having flexible demand and renewable energy generation …
A risk-based bi-level bidding system to manage day-ahead electricity market and scheduling of interconnected microgrids in the presence of smart homes
SA Mansouri, E Nematbakhsh… - … on Environment and …, 2022 - ieeexplore.ieee.org
This paper presents a bi-level bidding system for managing energy exchange between
interconnected microgrids in the presence of traditional and smart consumers, in which the …
interconnected microgrids in the presence of traditional and smart consumers, in which the …
Optimal graph structure based short-term solar PV power forecasting method considering surrounding spatio-temporal correlations
M Zhang, Z Zhen, N Liu, H Zhao, Y Sun… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Accurate short-term photovoltaic (PV) power forecasting is of great significance for the safe
and stable operation of power system. Spatial information from neighboring PV sites …
and stable operation of power system. Spatial information from neighboring PV sites …
Household profile identification for behavioral demand response: A semi-supervised learning approach using smart meter data
Accurate household profiles (eg, house type, number of occupants) identification is the key
to the successful implementation of behavioral demand response. Currently, supervised …
to the successful implementation of behavioral demand response. Currently, supervised …