A dynamic pricing demand response algorithm for smart grid: Reinforcement learning approach
R Lu, SH Hong, X Zhang - Applied energy, 2018 - Elsevier
With the modern advanced information and communication technologies in smart grid
systems, demand response (DR) has become an effective method for improving grid …
systems, demand response (DR) has become an effective method for improving grid …
An incentive-based demand response (DR) model considering composited DR resources
Demand response (DR) has been recognized as a powerful tool to help mitigate power
imbalances in a future smart energy system. This paper takes the point of view of a grid …
imbalances in a future smart energy system. This paper takes the point of view of a grid …
A stochastic MPC based approach to integrated energy management in microgrids
In this paper, a stochastic model predictive control (SMPC) approach to integrated energy
(load and generation) management is proposed for a microgrid with the penetration of …
(load and generation) management is proposed for a microgrid with the penetration of …
A novel behavioral real time pricing scheme for the active energy consumers' participation in emerging flexibility markets
Liberalized electricity markets, smart grids and high penetration of Renewable Energy
Sources necessitate the development of novel pricing schemes able to manage energy …
Sources necessitate the development of novel pricing schemes able to manage energy …
Optimal retail pricing for demand response of HVAC systems in commercial buildings considering distribution network voltages
AY Yoon, YJ Kim, SI Moon - IEEE Transactions on Smart Grid, 2018 - ieeexplore.ieee.org
Retail pricing can be well deployed with support of distribution companies (DISCOs) to
promote demand response (DR) programs using heating, ventilating, and air-conditioning …
promote demand response (DR) programs using heating, ventilating, and air-conditioning …
An integrated optimization+ learning approach to optimal dynamic pricing for the retailer with multi-type customers in smart grids
In this paper, we consider a realistic and meaningful scenario in the context of smart grids
where an electricity retailer serves three different types of customers, ie, customers with an …
where an electricity retailer serves three different types of customers, ie, customers with an …
Optimizing residential heating and energy storage flexibility for frequency reserves
O Kilkki, I Seilonen, K Zenger, V Vyatkin - International Journal of Electrical …, 2018 - Elsevier
The increase in intermittent renewable generation motivates participation of also the
electricity consumers in maintaining the production–consumption balance of the electrical …
electricity consumers in maintaining the production–consumption balance of the electrical …
Optimal dynamic pricing for smart grid having mixed customers with and without smart meters
This paper investigates an optimal day-ahead dynamic pricing problem in an electricity
market with one electricity retailer and multiple customers. The main objective of this paper …
market with one electricity retailer and multiple customers. The main objective of this paper …
Understanding price functions to control domestic electric water heaters for demand response: A bilevel approach to adapt power consumption to availabilty
A well-known mechanism for demand response is sending price signals to customers a day
ahead. Customers then postpone or advance their usage of electricity to minimize cost …
ahead. Customers then postpone or advance their usage of electricity to minimize cost …
Incentive‐based RTP model for balanced and cost‐effective smart grid
The authors propose an intelligent real‐time pricing (RTP)‐based energy consumption
scheduling model, which is especially applicable to more active and balanced demand …
scheduling model, which is especially applicable to more active and balanced demand …