Forecasting and Visualization of Renewable Energy Technologies Using Keyword Taxonomies

Woon, Wei Lee; Aung, Zeyar; Madnick, Stuart E.

doi:10.1007/978-3-319-13290-7_10

Cited by 6 publications

(5 citation statements)

References 24 publications

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“…As technologies pattern mining and machine learning over complex events as well as integrated semantic information processing, distributed stream processing, cloud platforms and privacy policies to mitigate information leaking are addressed. See also [24] for more results in the smart grid context. Also in the context of single buildings IT applications are considered, e.g.…”

Section: Development In the Field Of Computational Sustainabilitymentioning

confidence: 97%

Sustainable Development and Computing—An Introduction

Lässig

2016

Studies in Computational Intelligence

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Computational Sustainability is the computer scientific branch of the interdisciplinary field of sustainability research, an applied science about the research in sustainable solutions and their implementation. This introductory chapter describes the origins and the development of common and current sustainability goals and the development of sustainability science as separate field of research. It points out the relevance of Computer Science in many fields and gives an overview of the state of the art research in Computational Sustainability as well as about the content of this edited volume and about the case studies that are addressed in subsequent chapters.

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Section: Development In the Field Of Computational Sustainabilitymentioning

confidence: 97%

Sustainable Development and Computing—An Introduction

Lässig

2016

Studies in Computational Intelligence

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“…The publications related to renewable energies began with the work of Sakata et al [22] on the collaboration guidelines between researchers concerning renewable energies, specifically solar and wind energy. Then, in 2014 there are two articles: One by Woon et al [23] and the other by Du et al, [24] and Woon et al [23] research is centered on analyzing the Scopus database in relation with the term "renewable energy." The authors identified 500 keywords relevant to the domain of renewable energies and more than 119,000 documents.…”

Section: Bibliometric Analysis On Energy Its Use and Its Efficiencymentioning

confidence: 99%

Energy Use, Corporate Social Responsibility and Tourism: Most Outstanding Topics, Sources and Authors

Palacios‐Florencio

Domínguez-Orta

Santos-Roldán

2020

Environ Soc Psychol

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The concern for energy use and energy efficiency is a question of vital relevance and urgency in the current world. A search in Google Scholar with the term “energy use” produces more than 2 million results. If the search is restricted to the term “tourism”, more than 220,000 results are obtained and if we use together the terms “energy use” and “corporate social responsibility” (CSR) we get more than 19,000 results. Nevertheless, the authors have been unable to identify scientific studies centered on the problem of the energy use in the area of the tourist sector and CSR. The aim of this paper is identify the most usual subjects or topics which appear in the scientific literature analyzed, evaluate the documentary sources that show a greater degree of presence and which can be considered as more relevant and influential and to point out who the most relevant and prestigious authors are who are currently writing about the topics considered.

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“…Successes have been achieved in the creation of intelligent search systems, technologies for reconciling heterogeneous information, automatic generation of domain taxonomy, methods for identifying promising technologies and identifying their innovative indicators (quantitative and qualitative), methods for clustering and visualizing cognitive research and development maps [6][7][8]. It is worth noting that intelligent approaches in the field of forecasting innovative development are still in their infancy and have problem points: quality and reliability of information sources, inconsistency of data (noise, irregularity), and problems of integration of heterogeneous data.…”

Section: Prediction Based On Data Analysismentioning

confidence: 99%

“…These digests are used to divide the entire set of documents into categories. 6. Organizing of access to knowledge via ontology system (using IIEIDF components).…”

Section: Clustering Of Documents and Building Thematic Collectionsmentioning

confidence: 99%

Technology of Application of Software Tools for Energy Technology Forecasting

Kopaygorodsky¹

2019

Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019)

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In this paper an approach to the collection and analysis of information for the task of scientific and technological forecasting is considered. The approach is based on the use of ontologies, Tech Mining and Data Analysis methods. The developed approach is supported by the distributed intellectual information system created by the author. The technology of using tools for solving the problem is presented.

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Forecasting and Visualization of Renewable Energy Technologies Using Keyword Taxonomies

Cited by 6 publications

References 24 publications

Sustainable Development and Computing—An Introduction

Sustainable Development and Computing—An Introduction

Energy Use, Corporate Social Responsibility and Tourism: Most Outstanding Topics, Sources and Authors

Technology of Application of Software Tools for Energy Technology Forecasting

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