1,720,956 research outputs found
Analyzing the European Intraday Market: Statistical Insightsand Strategies for Continuous Trading in Renewable Energy Systems
No full textThe global focus on climate change has led to policies aimed at reducing carbon emissions and integrating renewable resources into the energy system. As a result, the electrical energy market has undergone significant changes, including the adoption of continuous trading in the European intraday market. This model enables market agents to exchange energy close to the delivery time, addressing challenges related to renewable energy forecasting. This research provides a comprehensive analysis of the intraday market, examining the characteristics and behaviors of market players engaged in continuous trading. Statistical analyses, including density analysis, regression analysis, time-series analysis, and correlation analysis, are employed to investigate the relationship between submitted order prices and the trend price relative to the day-ahead market. The findings shed light on these market dynamics. Additionally, a novel strategy is proposed to optimize revenue by considering the probability of a successful match. This strategy assists market participants in maximizing profits while ensuring a reasonable chance of finding suitable trading partners. Overall, this research contributes to understanding the European intraday market, particularly continuous trading. The statistical analyses offer insights into market characteristics and player strategies. These findings have practical implications for market participants and policymakers, aiding in informed decision-making and efficient trading practices in the evolving energy landscape. The study's guidance assists stakeholders in navigating this dynamic environment, emphasizing the significance of renewable energy integration and continuous trading. By leveraging this research, stakeholders can enhance profitability, contribute to renewable resource integration, and make informed decisions in the energy market
Agent based modeling for intraday electricity markets
No full textIn recent years, the strong growth of renewable energy sources has led to considerable instability in the electricity markets. As a consequence, this has increased trading activities in the continuous intraday market, especially close to delivery. This work presents an agent-based model that is able to reproduce the continuous market evolution, distinguishing players in dispatchable and non-dispatchable power plants and analyzing the behavior and interactions between them. All players behave rationally, trying to maximize their revenues and minimize imbalances. The results show that the model is able to reproduce the main characteristics of the continuous intraday electricity market, such as the price path strongly dependent on internal and external information, such as the wind production forecast, possible outages, an increase in order arrival towards the end of the trading session and weak market efficiency. The strategies assigned to each agent have been formulated taking into account statistical analyses of historical orders placed during continuous trading in different European bidding zones. The analyses have been carried out in a scenario composed of thermal plants with different marginal costs and wind agents, but the flexibility of the model gives the possibility to study many different scenarios
Optimization of an agent-based model for continuous trading energy market
No full textThe high penetration of intermittence resources in the energy market accelerates significantly the decarbonization process, but, on the other hand, the electrical system has to face the problem of unbalances. Renewable energies sources are hard to precisely forecast, and power plants are not able to predict the amount of energy that they can provide far from the real-time delivery. In this frame, the intraday market gets a fundamental role allowing agents to adjust their position close to the delivery time. In this work, we suggest an agent-based model of intraday market combined with genetics algorithms to understand what the best strategy could be adopted by players in order to optimize the market efficiency in terms of welfare and unsold quantity. In the first part, we show the effect on the market prices of different scenarios in which players aim at maximizing their revenues and selling/buying all their volumes. In the second part, we show the effect of a particular genetic algorithm on the model, focusing on how agents can adapt their strategy to enhance the market efficiency. Comparative analyses are also performed to investigate how the welfare of the system increases as well as the unsold quantity decrease when genetic algorithm is introduced
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Optimal Management of a Hydro – Wind Energy System with Hydrogen Storage
No full textThe exploitation of renewable energy sources is nowadays a fundamental factor for the sustainable development and the transition to low a carbon energy production system. However, the fluctuating and unpredictable behavior of energy sources like wind complicates their integration into energy systems and they need to be coupled with storage systems to fully exploit their potential. The main objective of this paper is thus to develop a novel Mixed Integer Linear Programming (MILP) algorithm capable of providing the optimal sizing and management of a hydrogen storage unit within a Hybrid Renewable Energy System (HRES) in which the produced energy is sold to the power grid. The algorithm has been validated with data from a case study located in Italy. The Hybrid Renewable Energy System under investigation is constituted by a hydropower plant, a wind turbine and a hydrogen storage system. The latter is composed of a Polymer Electrolyte Membrane (PEM) electrolyzer, four pressurized hydrogen tanks, and a PEM fuel cell. The optimal management has been obtained by responding to a unit commitment analysis
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