Fundamentals and business model for resource aggregator of demand response in electricity markets
Demand response (DR) is an effective means to help maintain the balance between power
supply and demand, promote energy conservation and emission reduction. Nevertheless …
supply and demand, promote energy conservation and emission reduction. Nevertheless …
[HTML][HTML] Aggregated demand-side energy flexibility: A comprehensive review on characterization, forecasting and market prospects
Existing grids have been designed with traditional large centralized generation in mind;
however, with the ever-increasing utilization of renewable distributed energy resources, the …
however, with the ever-increasing utilization of renewable distributed energy resources, the …
A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework
Photovoltaic (PV) power generation is an effective means to realize solar energy utilization.
Due to the natural characteristics of random fluctuations in solar energy, the applications of …
Due to the natural characteristics of random fluctuations in solar energy, the applications of …
Deep learning based surface irradiance mapping model for solar PV power forecasting using sky image
Z Zhen, J Liu, Z Zhang, F Wang, H Chai… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
With the increase of solar photovoltaic (PV) penetration in power system, the impact of
random fluctuation of PV power on the secure operation of power grid becomes more and …
random fluctuation of PV power on the secure operation of power grid becomes more and …
Multi-energy coordinated microgrid scheduling with integrated demand response for flexibility improvement
JJ Chen, BX Qi, ZK Rong, K Peng, YL Zhao, XH Zhang - Energy, 2021 - Elsevier
Multi-energy supply system is under development with a variety of benefits for microgrid
operation. In this paper, the coordinated scheduling and optimal operation strategy of …
operation. In this paper, the coordinated scheduling and optimal operation strategy of …
Smart households' aggregated capacity forecasting for load aggregators under incentive-based demand response programs
The technological advancement in the communication and control infrastructure helps those
smart households (SHs) that more actively participate in the incentive-based demand …
smart households (SHs) that more actively participate in the incentive-based demand …
An hour-ahead PV power forecasting method based on an RNN-LSTM model for three different PV plants
Incorporating solar energy into a grid necessitates an accurate power production forecast for
photovoltaic (PV) facilities. In this research, output PV power was predicted at an hour ahead …
photovoltaic (PV) facilities. In this research, output PV power was predicted at an hour ahead …
Day-ahead optimal bidding and scheduling strategies for DER aggregator considering responsive uncertainty under real-time pricing
This paper addresses the optimal decision problem of a distributed energy resources (DER)
aggregator who manages wind turbines, solar PV systems and battery energy storage (BES) …
aggregator who manages wind turbines, solar PV systems and battery energy storage (BES) …
Optimal bidding strategy of demand response aggregator based on customers' responsiveness behaviors modeling under different incentives
Residential customers account for an indispensable part in the demand response (DR)
program for their capability to provide flexibility when the system required. However, their …
program for their capability to provide flexibility when the system required. However, their …
Fast frequency control service provision from active neighborhoods: opportunities and challenges
Innovations in information, communication, forecasting, and control technologies, along with
the high investments to enhance the capabilities of active neighborhoods to participate in …
the high investments to enhance the capabilities of active neighborhoods to participate in …