[BOOK][B] Decision making under uncertainty in electricity markets
Most relevant decisions to be made by market agents within an energy market involve a
significant level of data uncertainty. For agents to make informed decisions within such a …
significant level of data uncertainty. For agents to make informed decisions within such a …
Electricity trading for coal-fired power plants in Turkish power market considering uncertainty in spot, derivatives and bilateral contract market
A Yucekaya - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
In deregulated power markets, electricity suppliers have the option to trade in the spot
market, derivatives market, and bilateral contract market. The spot market is always …
market, derivatives market, and bilateral contract market. The spot market is always …
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 …
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 …
Scenario reduction for futures market trading in electricity markets
To make informed decisions in futures markets of electric energy, stochastic programming
models are commonly used. Such models treat stochastic processes via a set of scenarios …
models are commonly used. Such models treat stochastic processes via a set of scenarios …
Risk measure based robust bidding strategy for arbitrage using a wind farm and energy storage
This paper proposes the use of a risk measure based robust optimization bidding strategy
for dispatching a wind farm in combination with energy storage. Through coordination with …
for dispatching a wind farm in combination with energy storage. Through coordination with …
Let's trade in the future! A futures-enabled fast resource trading mechanism in edge computing-assisted UAV networks
Mobile edge computing (MEC) has emerged as one of the key technical aspects of the fifth-
generation (5G) networks. The integration of MEC with resource-constrained unmanned …
generation (5G) networks. The integration of MEC with resource-constrained unmanned …
Risk-based assessment of the cost-efficiency and the effectivity of renewable energy support schemes: Certificate markets versus feed-in tariffs
R Fagiani, J Barquín, R Hakvoort - Energy policy, 2013 - Elsevier
The introduction of renewable energy sources in the electricity generation mix has the
potential to reduce power sector's emissions and countries' dependence on imported oil …
potential to reduce power sector's emissions and countries' dependence on imported oil …
Optimization of electricity retailer's contract portfolio subject to risk preferences
When an electricity retailer faces volume risk in meeting load and spot price risk in
purchasing from the wholesale market, conventional risk management optimization methods …
purchasing from the wholesale market, conventional risk management optimization methods …
A medium-term coalition-forming model of heterogeneous DERs for a commercial virtual power plant
Within a medium-term market horizon, this research work provides a methodology that
allows a commercial virtual power plant (CVPP) to form an optimal coalition of …
allows a commercial virtual power plant (CVPP) to form an optimal coalition of …