1,720,991 research outputs found
Impact of demand response and network payment schemes on generation and transmission expansion planning with high renewable energy penetration
No full textNetwork Expansion Planning (NEP) plays a pivotal role in the development of power systems. It involves
investing in new generating units and transmission lines to meet growing load demands and ensure a reliable
electricity supply. Historically, the incorporation of demand response (DR) factors in power system planning has
been limited due to their complexity and evaluation challenges. However, with advancements in smart grid
technologies, increased integration of renewable energy, and the emergence of flexible loads, the inclusion of DR
models has become crucial for enhancing power system reliability. While numerous studies have delved into
generation and transmission expansion planning (GTEP) problems, only a few have explored the integration of
network payment schemes and DR within the GTEP framework. This study proposes a multi-annual generation
and transmission expansion planning model that incorporates three network payment schemes and two DR
techniques. The objective is to secure financing for new generating units and transmission lines while minimizing
the overall system cost. The proposed models employ the mixed-integer linear programming (MILP) optimization
method and are validated using a modified IEEE 24-bus system. Two key system performance metrics, namely
the network congestion index and network saturation index, are employed to assess system reliability and
effectiveness. These results demonstrate that the integration of network payment schemes and DR techniques
into the generation and transmission expansion planning model can lead to a cost reduction of 32.1% as
compared to base model, reduced power system congestion and saturation (22.1%, 2.73%) to allow more
renewable energy integration and enhanced power system reliability and operational flexibility
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Developing a Messaging Application that Filters SMS Spam Messages Using Machine Learning
No full textThe increasing prevalence of SMS spam poses a significant challenge as mobile devices have become integral to daily life. Spam messages target individuals and can lead to high impacts, as they can evolve into phishing attacks or even social engineering. Our project holds significance in contributing to the safety of the community by reducing the number of spam victims. It aims to improve existing spam filtering solutions to provide a safer and more user-friendly experience, thereby reducing the vulnerability of users to spam and phishing attacks. Through state-of-the-art analysis, we identified a common gap: the lack of real-world application testing. In our methodology, we utilized the TensorFlow Lite Model Maker library to simplify the adaptation and deployment of an NLP neural network model text classification model on mobile devices. Our result is a meticulously designed user-friendly application that flags spam messages in real-time, o ering a safer messaging experience
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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