[HTML][HTML] Demand-side management in industrial sector: A review of heavy industries
H Golmohamadi - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The penetration of renewable energies is increasing in power systems all over the world.
The volatility and intermittency of renewable energies pose real challenges to energy …
The volatility and intermittency of renewable energies pose real challenges to energy …
A Bi-level optimization strategy for electric vehicle retailers based on robust pricing and hybrid demand response
W Meng, D Song, L Huang, X Chen, J Yang, M Dong… - Energy, 2024 - Elsevier
The high penetration of electric vehicles (EVs) poses both opportunities and challenges for
power systems. EV retailers, playing a critical role in the demand response mechanism, face …
power systems. EV retailers, playing a critical role in the demand response mechanism, face …
[HTML][HTML] Pool trading model within a local energy community considering flexible loads, photovoltaic generation and energy storage systems
This paper presents a pool trading model within a local energy community considering
home energy management systems (HEMSs) and other consumers. A transparent …
home energy management systems (HEMSs) and other consumers. A transparent …
Graph deep-learning-based retail dynamic pricing for demand response
Designing customized dynamic pricing is a promising way to incent consumers to adjust
their daily energy consumption behaviors. It helps manage flexible demand response …
their daily energy consumption behaviors. It helps manage flexible demand response …
Microgrid and participant-centric residential demand response program and photovoltaic with battery-storage P2P energy trading for optimum energy management …
Abstract An innovative decentralized Residential Demand Response (DR) program offers an
effective solution for efficient energy management to save cost for both the participants and …
effective solution for efficient energy management to save cost for both the participants and …
Incentive-based demand response under incomplete information based on the deep deterministic policy gradient
Incentive-based demand response (IBDR), as an important measure to encourage the users
to participate in the demand-side management, is commonly modeled as the Stackelberg …
to participate in the demand-side management, is commonly modeled as the Stackelberg …
The Role of Flexibility in the Integrated Operation of Low-Carbon Gas and Electricity Systems: A Review
The integration of gas and electricity networks has emerged as a promising approach to
enhance the overall flexibility of energy systems. As the transition toward sustainable and …
enhance the overall flexibility of energy systems. As the transition toward sustainable and …
Leveraging deep q-learning to maximize consumer quality of experience in smart grid
The smart grid system has addressed the problems of traditional power grid by not only
meeting energy demand in real-time but also limiting its wastage. The two key objectives of …
meeting energy demand in real-time but also limiting its wastage. The two key objectives of …
[HTML][HTML] Minimizing pricing policies based on user load profiles and residential demand responses in smart grids
This paper considers the time of use (TOU) pricing scheme to propose a consumer aware
pricing policy (CAPP), where each customer receives a separate electricity pricing signal …
pricing policy (CAPP), where each customer receives a separate electricity pricing signal …
Social welfare maximization with efficient energy management of community microgrid considering customer behavioral response using MDCLPIS
A novel residential demand response (DR) program is proposed to encourage microgrid
customers to participate in demand reduction using a house energy consumption scheduler …
customers to participate in demand reduction using a house energy consumption scheduler …