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This paper studies the realizability and compatibility of the three CEP2020 targets, focusing on electricity prices. We study the impact of renewables and other fundamental determinants on wholesale and household retail electricity prices…

General Economics · Economics 2022-02-04 Juan Ignacio Peña , Rosa Rodriguez

Causal analysis helps us understand variables that are responsible for system failures. This improves fault detection and makes system more reliable. In this work, we present a new method that combines causal inference with machine learning…

Systems and Control · Electrical Eng. & Systems 2025-08-05 Karthik Peddi , Sai Ram Aditya Parisineni , Hemanth Macharla , Mayukha Pal

The European Union Emissions Trading System (EU ETS) is a key policy tool for reducing greenhouse gas emissions and advancing toward a net-zero economy. Under this scheme, tradeable carbon credits, European Union Allowances (EUAs), are…

Applications · Statistics 2025-05-16 Jan Maciejowski , Manuele Leonelli

One of the basic aims in science is to unravel the chain of cause and effect of particular systems. Especially for large systems this can be a daunting task. Detailed interventional and randomized data sampling approaches can be used to…

Methodology · Statistics 2016-11-30 Seyed Mahdi Mahmoudi , Ernst Wit

This paper analyzes stability conditions for wholesale electricity markets under real-time retail pricing and realistic consumption models with memory, which explicitly take into account previous electricity prices and consumption levels.…

Systems and Control · Computer Science 2017-02-21 Datong P. Zhou , Mardavij Roozbehani , Munther A. Dahleh , Claire J. Tomlin

During the last years, European intraday power markets have gained importance for balancing forecast errors due to the rising volumes of intermittent renewable generation. However, compared to day-ahead markets, the drivers for the intraday…

Statistical Finance · Quantitative Finance 2023-10-06 Simon Hirsch , Florian Ziel

The recently announced Energy Union by the European Commission is the most recent step in a series of developments aiming at integrating the EU's gas markets to increase social welfare (SW) and security of gas supply. Based on a spatial…

Economics · Quantitative Finance 2015-12-18 Tobias Baltensperger , Rudolf M. Füchslin , Pius Krütli , John Lygeros

The marginal price of electricity traditionally depends on the dual variables associated with relevant optimization goals. Particularly, in the optimal power flow realm, prices represent the cost of supplying an additional unit of power at…

Optimization and Control · Mathematics 2016-06-29 Kyri Baker

Especially in regions with high solar irradiation, photocatalysis presents a promising low-cost "green" hydrogen production option. Thus, this paper analyzes impacts of increasing photocatalysis shares on the European energy system using an…

Physics and Society · Physics 2025-07-30 Wolfram Tuschewitzki , Jelto Lange , Jacob Schneidewind , Martin Kaltschmitt

This study analyses the current viability of this business based on a sample of European countries in the year 2019; countries where electricity prices (day-ahead market) and financial conditions show a certain degree of heterogeneity. We…

General Economics · Economics 2023-09-26 Fernando Núñez , David Canca , Ángel Arcos-Vargas

A competitive wholesale electricity market consists of thousands of interacting market participants. Driven by the variations of fuel costs, system loads and weathers, these market participants compete actively and behave variously in the…

Systems and Control · Electrical Eng. & Systems 2019-11-01 Zhongyang Zhao , Caisheng Wang , Huaiwei Liao , Carol J. Miller

The increasing attention to environmental issues is forcing the implementation of novel energy models based on renewable sources, fundamentally changing the configuration of energy management and introducing new criticalities that are only…

Physics and Society · Physics 2015-09-09 Mario Mureddu , Guido Caldarelli , Alessandro Chessa , Antonio Scala , Alfonso Damiano

Accurate short-term electricity price forecasting is crucial for strategically scheduling demand and generation bids in day-ahead markets. While data-driven techniques have shown considerable prowess in achieving high forecast accuracy in…

Machine Learning · Computer Science 2025-12-05 Maria Margarida Mascarenhas , Jilles De Blauwe , Mikael Amelin , Hussain Kazmi

The increasing transmission capacity needs in a future energy system raise the question how associated costs should be allocated to the users of a strengthened power grid. In contrast to straightforward oversimplified methods, a flow…

As the European countries strive to meet their ambitious climate goals, renewable hydrogen has emerged to aid in decarbonizing energy-intensive sectors and support the overall energy transition. To ensure that hydrogen production aligns…

General Economics · Economics 2025-03-17 E. Hordvei , S. Hummelen , M. Petersen , S. Backe , P. Granado

Global trade is shaped by a complex mix of factors beyond supply and demand, including tangible variables like transport costs and tariffs, as well as less quantifiable influences such as political and economic relations. Traditionally,…

Optimization and Control · Mathematics 2025-11-21 Thomas Gaskin , Guven Demirel , Marie-Therese Wolfram , Andrew Duncan

To limit the global temperature increase to 1.5 degrees Celsius, fossil-free energy systems will be required eventually. To understand how such systems can be designed, the current state-of-the-art is to apply techno-economical optimisation…

Physics and Society · Physics 2020-05-01 K. Zhu , M. Victoria , G. B. Andresen , M. Greiner

The expansion of wind and solar power is driving the European energy system transformation, thereby also driving our reliance on this weather-dependent resources. Integrating renewable scarcity events into long-term planning has therefore…

General Economics · Economics 2026-03-11 Maximilian Bernecker , Smaranda Sgarciu , Xiaoming Kan , Mehrnaz Anvari , Iegor Riepin , Felix Müsgens

This article presents a novel hybrid approach using statistics and machine learning to forecast the national demand of electricity. As investment and operation of future energy systems require long-term electricity demand forecasts with…

Machine Learning · Computer Science 2023-04-12 Tatiana Gonzalez Grandon , Johannes Schwenzer , Thomas Steens , Julia Breuing

As the European countries strive to meet their ambitious climate goals, renewable hydrogen has emerged to aid in decarbonizing energy-intensive sectors and support the overall energy transition. To ensure that hydrogen production aligns…