Linking electricity prices and costs in bottom-up top-down coupling under changing market environments
Graph Chatbot
Chat with Graph Search
Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
This paper proposes a pricing scheme for the day-ahead market in power systems with a large percentage of renewable stochastic production. To clear the day-ahead market, instead of a simplistic deterministic model, we use a two-stage stochastic programming ...
Energy policy needs to rely on the proper understanding of the interactions between policy instruments, consumer preferences, investment behavior, market structure, electricity supply, and the wider policy environment. This asks for appropriate modeling to ...
Hydro power plants operate their turbine to match the peaks in electricity demand. This leads to strongly unsteady flow regimes downstream of the power plants outlet into the river. From an ecological point of view, those sudden starting and stopping of tu ...
This paper analyzes the impacts of flexible demands on day-ahead market outcomes in a system with significant wind power production. We use a two-stage stochastic market-clearing model, where the first stage represents the day-ahead market and the second s ...
In this paper one introduces the modeling of power flow constraints for transmission grid in the multi-sectoral multi-energy long-term investment planning tool ETEM-SG. This extension allows a better representation of demand response for flexible loads tri ...
Electricity market liberalization is altering pricing mechanisms in wholesale electricity markets, which will affect the effectiveness of climate and energy policies. Models used to simulate such policies must be responsive to pricing rules. We show how th ...
Sharing markets create mutual insurance for consumers who are unsure about their future needs for goods, thus rendering products more valuable both before and after the purchase. By embedding intelligence in their products, enabling them to sense, monitor, ...
The emergence of a collaborative economy has been driven by advances in information technology that allow consumers to borrow and rent goods among peers on a secondary sharing market. In a dynamic setting, consumers make intertemporal decisions about purch ...
Decision making in electricity markets under uncertainty has worldwide gained attention due to an increasing number of uncertain parameters associated to technology developments and market evolution. Hence, the market operator faces new challenges pertaini ...
Chemical process optimization problems often have multiple and conflicting objectives, such as capital cost, operating cost, production cost, profit, energy consumption and environmental impact. There are several conversion technologies that can convert Sy ...