Decision-making for electricity retailers: A brief survey

J Yang, J Zhao, F Luo, F Wen… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the continuous development of smart grid and further restructuring of power industry,
modern power systems have been transformed to complex cyber-physical systems …

A review on Demand-side tools in electricity market

R Sharifi, SH Fathi, V Vahidinasab - Renewable and Sustainable Energy …, 2017 - Elsevier
With the advent of restructuring in the electricity markets, the Supply-side quickly adapted to
the new environment, whereas, the story in the demand side has been different. Demand …

Energy-sharing provider for PV prosumer clusters: A hybrid approach using stochastic programming and stackelberg game

N Liu, M Cheng, X Yu, J Zhong… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
According to the energy policy, which encourages local consumption of photovoltaic (PV)
energy, the energy sharing among neighboring PV prosumers is proved to be a more …

Day-ahead electricity price forecasting via the application of artificial neural network based models

IP Panapakidis, AS Dagoumas - Applied Energy, 2016 - Elsevier
Traditionally, short-term electricity price forecasting has been essential for utilities and
generation companies. However, the deregulation of electricity markets created a …

Real-time demand response model

AJ Conejo, JM Morales… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
This paper describes an optimization model to adjust the hourly load level of a given
consumer in response to hourly electricity prices. The objective of the model is to maximize …

Risk-constrained profit maximization for microgrid aggregators with demand response

DT Nguyen, LB Le - IEEE Transactions on smart grid, 2014 - ieeexplore.ieee.org
In this paper, we consider the operation optimization for a microgrid (MG) aggregator, which
can procure energy from various sources including the pool market and local distributed …

Decentralized coordinated operation model of VPP and P2H systems based on stochastic-bargaining game considering multiple uncertainties and carbon cost

X Wang, H Lu, Y Zhang, Y Wang, J Wang - Applied Energy, 2022 - Elsevier
In order to achieve low-carbon development, the joint operation of virtual power plants (VPP)
and clean power to hydrogen (P2H) is a hot issue. However, the conventional centralized …

Dynamic pricing and distributed energy management for demand response

L Jia, L Tong - IEEE Transactions on Smart Grid, 2016 - ieeexplore.ieee.org
The problem of dynamic pricing of electricity in a retail market is considered. A Stackelberg
game is used to model interactions between a retailer and its customers; the retailer sets the …

A methodology to generate statistically dependent wind speed scenarios

JM Morales, R Minguez, AJ Conejo - Applied Energy, 2010 - Elsevier
Wind power–a renewable energy source increasingly attractive from an economic viewpoint–
constitutes an electricity production alternative of growing relevance in current electric …

A model of customizing electricity retail prices based on load profile clustering analysis

J Yang, J Zhao, F Wen, Z Dong - IEEE Transactions on Smart …, 2018 - ieeexplore.ieee.org
The problem of customizing electricity retail prices using data mining techniques is studied
in this paper. The density-based spatial clustering of applications with noise is first applied to …