Decision-making for electricity retailers: A brief survey
With the continuous development of smart grid and further restructuring of power industry,
modern power systems have been transformed to complex cyber-physical systems …
modern power systems have been transformed to complex cyber-physical systems …
A review on Demand-side tools in electricity market
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 …
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
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 …
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
Traditionally, short-term electricity price forecasting has been essential for utilities and
generation companies. However, the deregulation of electricity markets created a …
generation companies. However, the deregulation of electricity markets created a …
Real-time demand response model
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 …
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
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 …
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 …
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 …
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
Wind power–a renewable energy source increasingly attractive from an economic viewpoint–
constitutes an electricity production alternative of growing relevance in current electric …
constitutes an electricity production alternative of growing relevance in current electric …
A model of customizing electricity retail prices based on load profile clustering analysis
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 …
in this paper. The density-based spatial clustering of applications with noise is first applied to …