Applications of Artificial Intelligence in Smart Grids: Present and Future Research Domains

—In the last decade, Artificial Intelligence (AI) have been applied overwhelmingly in various research domains in the context of smart grid. It has been one of the main streams of advanced technological approaches that the research community offered for developing smart grids. However, the broad scope of the subject matter launch complexity for scholars to identify effective research approaches. In this paper, we present a literature review about utilizing AI in the key elements of smart grids including grid-connected vehicles, data-driven components, and the power system network. This will result in highlighting technical challenges of the integration of electric vehicles to the grid and the power network operation as well. Moreover, we discuss the four key research areas in the context of AI and its applications in intelligent power grids. The proposed research fields aid PhD candidates to consider these areas as the promising domains for investigation

Proceedings of the First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014): Porto, Portugal

Proceedings of: First International Workshop on Sustainable Ultrascale Computing Systems (NESUS 2014). Porto (Portugal), August 27-28, 2014

Unmet goals of tracking: within-track heterogeneity of students' expectations for

Educational systems are often characterized by some form(s) of ability grouping, like tracking. Although substantial variation in the implementation of these practices exists, it is always the aim to improve teaching efficiency by creating homogeneous groups of students in terms of capabilities and performances as well as expected pathways. If students’ expected pathways (university, graduate school, or working) are in line with the goals of tracking, one might presume that these expectations are rather homogeneous within tracks and heterogeneous between tracks. In Flanders (the northern region of Belgium), the educational system consists of four tracks. Many students start out in the most prestigious, academic track. If they fail to gain the necessary credentials, they move to the less esteemed technical and vocational tracks. Therefore, the educational system has been called a 'cascade system'. We presume that this cascade system creates homogeneous expectations in the academic track, though heterogeneous expectations in the technical and vocational tracks. We use data from the International Study of City Youth (ISCY), gathered during the 2013-2014 school year from 2354 pupils of the tenth grade across 30 secondary schools in the city of Ghent, Flanders. Preliminary results suggest that the technical and vocational tracks show more heterogeneity in student’s expectations than the academic track. If tracking does not fulfill the desired goals in some tracks, tracking practices should be questioned as tracking occurs along social and ethnic lines, causing social inequality

Evaluation of the Canadian International Food Security Research Fund (CIFSRF)

French version available in IDRC Digital Library: Évaluation du Fonds canadien de recherche sur la sécurité alimentaire internationale (FCRSAI)The evaluation’s primary intended users are CIFSRF’s Governance Committee (GC), management and staff. The evaluation has been composed to provide them with guidance for determining and communicating program results to various stakeholders, and to inform current and future FS policy and programming. The main clients of the CIFSRF combined evaluation are the targeted DCs who should be able to determine the relevance, usefulness and contributions of CIFSRF program results to their own national policies and food and nutrition strategies

Esa 12th Conference: Differences, Inequalities and Sociological Imagination: Abstract Book

Esa 12th Conference: Differences, Inequalities and Sociological Imagination: Abstract Boo

Optimum Average Silhouette Width Clustering Methods

Cluster analysis is the search for groups of alike instances in the data. The two major problems in cluster analysis are: how many clusters are present in the data? And how can the actual clustering solution be found? We have developed a unified approach to estimate number of clusters and clustering solution mutually. This work is about theory, methodology and algorithm developed of newly proposed approach. // Average silhouette width (ASW) is a well-known index for measuring the clustering quality and for the estimation of the number of clusters. The index is in wide use across disciplines as standard practice for these tasks. In this work the clustering methodolo- gies is proposed that can itself estimate number of clusters on the fly, as well as produce the clustering against this estimated number by optimizing the ASW index. The performance of the ASW index for these two tasks are meticulously investigated. // ASW based clustering functions are proposed for the two most popular clustering domains i.e., hierarchical and non-hierarchical. The performance comparison for clustering solutions obtained from the proposed methods with a range of clustering methods has been done for the quality evaluation. // The performance comparison for the estimation of the number of clusters of the proposed methods has been made using a wide spectrum of cluster estimation indices and methods. For this, large scale studies for the estimation of the number of clusters have been conducted with well-reputed clustering methods to find out each method’s estimation performance with different indices/methods for various kinds of clustering structures. // Developing mathematical and theoretical aspects for clustering is a relatively new and challenging avenue. Recently this research domain has received considerable attention due to the present need and importance of theory of clustering. The purpose behind the theory development for clustering is to make the general nature of clustering more understandable without assuming particular data generating structures and independently from any clustering algorithm/functions. Lastly, a considerable amount of attention has been drawn towards the theory development of the ASW index in the latter part of the thesis