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Journal articles on the topic 'Energy Informatics'

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Published: 14 March 2023

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1

Schmeck, Hartmut, Antonello Monti, and Veit Hagenmeyer. "Energy informatics." Communications of the ACM 65, no. 4 (April 2022): 58–63. http://dx.doi.org/10.1145/3511666.

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2

Lehnhoff, Sebastian, and Astrid Nieße. "Energy Informatics." it - Information Technology 58, no. 1 (January 1, 2016): 1–2. http://dx.doi.org/10.1515/itit-2015-0048.

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3

Goebel, Christoph, Hans-Arno Jacobsen, Victor del Razo, Christoph Doblander, Jose Rivera, Jens Ilg, Christoph Flath, et al. "Energy Informatics." Business & Information Systems Engineering 6, no. 1 (December 21, 2013): 25–31. http://dx.doi.org/10.1007/s12599-013-0304-2.

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4

Babak, Vitalii, Artur Zaporozhets, Yurii Kuts Yurii, and Leonid Shcherbak. "Some features of Hilbert transform and their use in energy informatics." Problems of General Energy 2022, no. 1-2 (May 22, 2022): 90–96. http://dx.doi.org/10.15407/pge2022.01-02.090.

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Information-measuring technologies (IMT) are an important instrument for solving problems of energy informatics. They allow to form primary information based on the interaction of energy facilities with IMT sensors that form information signals. In many practical applications, the constructive model of information signals is the model of narrowband signals. The article summarizes the features of the discrete Hilbert transform and its application to obtain the primary characteristics of information signals – bypass and phase as functions of time. The main advantages of using the discrete Hilbert transform in signal processing for energy informatics are considered, including the consistency of obtaining frequency and time characteristics, high information content, the ability to analyze the dynamics of changes in signal characteristics, the possibility of obtaining samples of characteristics of information signals of significant volumes, etc. It is proposed to use a phase characteristic to select the time interval that limits the signal sample and sets it to a multiple of the signal period, and the sampling rate of information signals to reduce the errors in estimating their spectrum. The possibility of obtaining on their basis secondary deterministic (voltage level, voltage deviations from the nominal level, attenuation coefficient, signal period, signal phase shift, oscillation frequency, etc.) and statistical (sample characteristic, sample variance, sample median, sample circular variance, sample circular median, sample circular kurtosis, etc.) of signal information characteristics, which allows more complete to use their information resource. These characteristics can be used both for assessing power quality characteristics and for monitoring and diagnosing of energy facilities. Keywords: energy informatics, information signals, signal processing, discrete Hilbert transform, amplitude signal characteristics, phase signal characteristics
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5

Lossin, Felix, Allister Loder, and Thorsten Staake. "Energy informatics for behavioral change." Computer Science - Research and Development 31, no. 3 (December 12, 2014): 149–55. http://dx.doi.org/10.1007/s00450-014-0295-3.

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6

Huang, Biyao, Xiaomin Bai, Zhenyu Zhou, Quansheng Cui, Daohua Zhu, and Ruwei Hu. "Energy informatics: Fundamentals and standardization." ICT Express 3, no. 2 (June 2017): 76–80. http://dx.doi.org/10.1016/j.icte.2017.05.006.

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7

Karpenko, V. M., Yu P. Starodub, and O. V. Karpenko. "GEODYNAMICS." GEODYNAMICS 1(6)2007, no. 1(6) (September 20, 2007): 81–84. http://dx.doi.org/10.23939/jgd2007.01.081.

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The questions, related to the informative features of oscillator dynamics, which succeed to be learned with the use of energy-informatics approach, are examined in this article. The spatial and kinematics parameters of simple oscillator are examined depending on energy that gives the possibility to define the dynamic parame­ters of oscillator - mass and rigidity. Oscillators are explored with the use of energy-informatics approach with the solution of inverse problem - the determination of mass and flexibility of oscillators' vibrations, which as separate chain lets model the medium.
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Lehnhoff, Sebastian, and Astrid Nieße. "Recent trends in energy informatics research." it - Information Technology 59, no. 1 (January 20, 2017): 1–3. http://dx.doi.org/10.1515/itit-2016-0058.

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9

Grosse, Matti, Hendrik Send, and Thomas Schildhauer. "Lessons Learned from Establishing the Energy-Informatics Business Model: Case of a German Energy Company." Sustainability 11, no. 3 (February 7, 2019): 857. http://dx.doi.org/10.3390/su11030857.

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Energy and utilities companies find themselves in a paradoxical situation in which their traditional business models are losing profitability, and they must advocate energy efficiency and climate-protection goals, and thus encourage their customers to save energy. As a result, they must partially cannibalize their business models and experiment with new models and techniques. Energy Informatics (EI) offers promising business opportunities that alleviate the concerns of energy companies about traditional revenue streams. However, recent discussions on this issue lack proof of concept and success determinants. This business case study fills this gap by describing the journey of German energy company Energiequelle, which established a sustainable business model based on EI. On the basis of our interview data, we analyzed Energiequelle’s EI strategy and stakeholder management and present six lessons learned. We believe that our practice-oriented research provides profound insight, especially to high-level executives and policymakers.
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10

Rizal, Rahmat, Edi Susilo, and Salhazan Nasution. "Improving Student’s Coding Skill with Gamification Website-based Program." International Journal of Electrical, Energy and Power System Engineering 4, no. 3 (November 1, 2021): 191–95. http://dx.doi.org/10.31258/ijeepse.4.3.191-195.

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People's dependence on digital technology has increased rapidly since the global Covid-19 pandemic. This causes the world's need for digital products and human resources to make digital products higher. Informatics Engineering Program is one of the providers of human resources who are proficient in the field of information technology. One of the basic skills that must be possessed to create digital products is programming or coding skills. The more skilled a person is at typing and understanding coding, the more complex the digital products he can create. This is why the coding ability of students in the Informatics Engineering Program must be improved. This website-based coding training program aims to improve the coding skills of Informatics Engineering students with interesting and fun gamification methods. Gamification methodology will greatly benefit student of Informatics Engineering Program in Riau University to improve his or her coding skill without consuming too much time and energy.
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11

Jia, Lin, Barry Cumbie, Chetan S. Sankar, and Jian Yu. "The Role of a Sustainability Informatics Framework in Transportation Systems." International Journal of Information Systems in the Service Sector 6, no. 3 (July 2014): 43–59. http://dx.doi.org/10.4018/ijisss.2014070103.

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This article develops a Sustainability Informatics Framework, a framework that connects Information Technology with sustainability and is based on the Belief-Action-Outcome and Energy Informatics frameworks. The triple-bottom line (People, Planet, and Profit) is adopted as a criterion for measuring sustainability and three sustainability indices are first formulated and then visualized using Sustainability Dashboards. This framework is then used to analyze transportation systems. This leads to the development of research propositions that can expand the role of the Information Systems discipline to research on areas of sustainable nation building.
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Nakai, Hiromi, Junji Seino, and Kairi Nakamura. "Bond Energy Density Analysis Combined with Informatics Technique." Journal of Physical Chemistry A 123, no. 36 (August 19, 2019): 7777–84. http://dx.doi.org/10.1021/acs.jpca.9b04030.

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Santini, Silvia, and Verena Tiefenbeck. "6th DACH+ Conference on Energy informatics (EnInf 2017)." Computer Science - Research and Development 33, no. 1-2 (January 30, 2018): 1–2. http://dx.doi.org/10.1007/s00450-017-0390-3.

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Chang, Chi-Ning, Brandie Semma, Marta Lynn Pardo, Debra Fowler, Patrick Shamberger, and Raymundo Arroyave. "Data-Enabled Discovery and Design of Energy Materials (D3EM): Structure of An Interdisciplinary Materials Design Graduate Program." MRS Advances 2, no. 31-32 (2017): 1693–98. http://dx.doi.org/10.1557/adv.2017.228.

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ABSTRACTThe Materials Genome Initiative (MGI) calls for the acceleration of the materials development cycle through the integration of experiments and simulations within a data-aware/enabling framework. To realize this vision, MGI recognizes the need for the creation of a new kind of workforce capable of creating and/or deploying advanced informatics tools and methods into the materials discovery/development cycle. An interdisciplinary team at Texas A&M seeks to address this challenge by creating an interdisciplinary program that goes beyond MGI in that it incorporates the discipline of engineering systems design as an essential component of the new accelerated materials development paradigm. The Data-Enabled Discovery and Development of Energy Materials (D3EM) program seeks to create an interdisciplinary graduate program at the intersection of materials science, informatics, and design. In this paper, we describe the rationale for the creation of such a program, present the pedagogical model that forms the basis of the program, and describe some of the major elements of the program.
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Seino, Junji, and Hiromi Nakai. "Informatics‐Based Energy Fitting Scheme for Correlation Energy at Complete Basis Set Limit." Journal of Computational Chemistry 37, no. 25 (July 25, 2016): 2304–15. http://dx.doi.org/10.1002/jcc.24455.

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NAKAMURA, Kairi, Junji SEINO, and Hiromi NAKAI. "Development of Bond Energy Density Analysis with Informatics Technique." Journal of Computer Chemistry, Japan 18, no. 3 (2019): 152–55. http://dx.doi.org/10.2477/jccj.2019-0026.

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17

Cai, Yanpeng. "Editorial: Informatics for sustainable energy development and environmental management." Environmental Systems Research 1, no. 1 (2012): 3. http://dx.doi.org/10.1186/2193-2697-1-3.

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18

Stead, W. W. "Focusing Energy on Biomedical Engineering, Imaging, and Informatics Research." Journal of the American Medical Informatics Association 6, no. 4 (July 1, 1999): 334–35. http://dx.doi.org/10.1136/jamia.1999.0060334.

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19

Erwin, Patricia J. "Energy, Climate, Food and Health." Medical Reference Services Quarterly 27, no. 4 (September 29, 2008): 431–39. http://dx.doi.org/10.1080/02763860802368225.

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20

et al., Sultan. "A research framework for grid benefits from energy storage." International Journal of ADVANCED AND APPLIED SCIENCES 9, no. 4 (April 2022): 53–61. http://dx.doi.org/10.21833/ijaas.2022.04.007.

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Grid reliability is one of the greatest challenges facing electric utilities. Energy storage will play an important role in meeting these challenges by enhancing the grid’s operating capabilities, lowering costs, ensuring high reliability, and deferring and reducing infrastructure investments. This paper offers a taxonomy of the advantages of energy storage to identify the main benefits offered to electrical utilities. In addition, it illustrates and discusses a detailed classification of energy-storage materials along with their characteristics. This paper provides a solid foundation to equip researchers with the most pertinent information to advance future research in the energy-informatics domain. The goal of creating this taxonomy and framework is to identify areas for future research endeavors and illustrate new research directions.
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Suparta, Wayan. "Marine Heat as a Renewable Energy Source." WIDYAKALA: JOURNAL OF PEMBANGUNAN JAYA UNIVERSITY 7, no. 1 (March 31, 2020): 37. http://dx.doi.org/10.36262/widyakala.v7i1.278.

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The ocean, which covers two-thirds of the land surface, receives heat from the sun's rays. Ocean water also receives heat that comes from geothermal heat, which is magma located under the seafloor. Ocean surface temperatures are warmest near the equator, with temperatures from 25°C to 33°C between 0 degrees and 20 degrees north and south latitude. This temperature difference can be utilized to run the driving machine based on the thermodynamic principle. A technology called Ocean Thermal Energy Conversion (OTEC) is capable of converting the temperature difference into electrical energy. OTEC is a power plant by utilizing the difference in the temperature of seawater on the surface and the temperature of deep seawater. This paper briefly overviews of how ocean heat can be utilized as a renewable energy source to produce electrical energy. The development and exploitation of renewable marine energy in the future are feasible and this will involve multidisciplinary fields such as robotics and informatics.
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22

Álava, Lenin Agustín Cuenca, Guillermo Antonio Loor Castillo, Miriam Vilaragut Llanes, and Miguel Castro Fernandez. "Experiences of Artificial Intelligence Application at International Level." International Research Journal of Engineering, IT & Scientific Research 3, no. 2 (March 1, 2017): 9. http://dx.doi.org/10.21744/irjeis.v3i2.383.

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Informatics and communications have revolutionized different sectors the energy is one of them through application using the smart grid in the research exposes its importance in the new vision of the transmission and distribution of electric energy according to the implementation of Distributed Generation with the contributions of different energy sources from different points close to the consumer. The support of this new approach based on current technological advances, with intelligent instrumentation that supports these working methods, has taken into account the incorporation of these techniques as a fundamental tool for the successful decision making. Provides security, security of supply, reliability and energy savings, which translates into the achievement of energy efficiency in the grid system.
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23

Elam Cheren, S., and L. Ashok Kumar. "Optimization Techniques for Improving the Performance of Solar Photovoltaic System in Conjunction with Health Informatics and the Hospital Energy Management System." Journal of Medical Imaging and Health Informatics 11, no. 12 (December 1, 2021): 3016–23. http://dx.doi.org/10.1166/jmihi.2021.3912.

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Energy savings, clean energy, savings in utility and energy governance tools are buzzwords in the healthcare industry. Healthcare sectors become largest consumer of energy in the modern world. Based on data of American Society of Heating, Refrigerating, and Air-Conditioning Engineers (ASHRAE), a moderate hospital consume 2.5 times higher energy than commercial buildings. As a result, increased worries about energy costs and environmental issues, as well as the anticipation of rising energy prices in the future and the need to enhance the dependability of healthcare facilities, have led to a focus on in-house power generation systems and the importance of energy management in hospitals and their health care facilities. Solar power systems that are clean and ecologically friendly have grown in popularity as distributed power generation (DPG) systems in recent years. In this work, a Grid-tied Solar PV system incorporated with Battery energy storage technology is considered in conjunction with health informatics and the hospital Energy Management System reduces energy consumption cost and improves the reliability of the power supply to run all clinical equipment available in the hospital’s Intensive Care Unit (ICU) and other premises. In this context, the Energy management controller utilised in the hospital Energy Management System will effectively use the electricity supplied by the Solar PV system while minimising grid demand and stabilising the voltage in the DC bus, which must be inverted into AC using an inverter to feed clinical loads. Furthermore the maximum power point tracking method is adopted, which enhances the quality of DC voltage generated by solar PV panels and feed to the DC bus. Sliding mode controller (SMC) is adopted in the inverter side and the quality of the inverted voltage is optimized using artificial bee colony (ABC) method. The proposed solar PV system in conjunction with health informatics and the hospital Energy Management System is developed and simulated in the MATLAB Simulink. The response of the suggested SMC and ABC techniques are compared and their outcomes are shown to confirm the performance of hospital energy management system.
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24

Foth, Marcus. "Participatory urban informatics: towards citizen-ability." Smart and Sustainable Built Environment 7, no. 1 (April 3, 2018): 4–19. http://dx.doi.org/10.1108/sasbe-10-2017-0051.

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Purpose The purpose of this paper is to trace how the relationship between city governments and citizens has developed over time with the introduction of urban informatics and smart city technology. Design/methodology/approach The argument presented in the paper is backed up by a critical review approach based on a transdisciplinary assessment of social, spatial and technical research domains. Findings Smart cities using urban informatics can be categorised into four classes of maturity or development phases depending on the qualities of their relationship with their citizenry. The paper discusses the evolution of this maturity scale from people as residents, consumers, participants, to co-creators. Originality/value The paper’s contribution has practical implications for cities wanting to take advantage of urban informatics and smart city technology. First, recognising that technology is a means to an end requires cities to avoid technocratic solutions and employ participatory methodologies of urban informatics. Second, the most challenging part of unpacking city complexities is not about urban data but about a cultural shift in policy and governance style towards collaborative citymaking. The paper suggests reframing the design notion of usability towards “citizen-ability”.
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25

Jalbert, Kirk, Samantha Malone Rubright, and Karen Edelstein. "The Civic Informatics of FracTracker Alliance: Working with Communities to Understand the Unconventional Oil and Gas Industry." Engaging Science, Technology, and Society 3 (September 28, 2017): 528. http://dx.doi.org/10.17351/ests2017.128.

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Unconventional oil and gas extraction is fueling a wave of resource development often touted as a new era in US energy independence. However, assessing the true costs of extraction is made difficult by the vastness of the industry and lack of regulatory transparency. This paper addresses efforts to fill knowledge gaps taken up by civil society groups, where the resources produced in these efforts are used to make informed critiques of extraction processes and governance. We focus on one civil society organization, called FracTracker Alliance, which works to enhance public understanding by collecting, interpreting, and visualizing oil and gas data in broad partnerships. Drawing on the concepts of civic science, we suggest that the informational practices of civil society research organizations facilitate critical knowledge flows that we term “civic informatics.” We offer three case studies illustrating how different characteristics of civic informatics enable public-minded research as well as build capacity for political mobilizations. Finally, we suggest that empirical studies of civic informatics and its facilitators offer insights for the study of “engaged” Science and Technologies Studies (STS) that seek to generate new models of science at the intersection of praxis and theory.
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Watson, Boudreau, and Chen. "Information Systems and Environmentally Sustainable Development: Energy Informatics and New Directions for the IS Community." MIS Quarterly 34, no. 1 (2010): 23. http://dx.doi.org/10.2307/20721413.

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27

Zhang, Yan, Yan Wu, Danny H. K. Tsang, and Alberto Leon-Garcia. "Guest Editorial Special Section on Energy Informatics for Green Cities." IEEE Transactions on Industrial Informatics 14, no. 4 (April 2018): 1456–57. http://dx.doi.org/10.1109/tii.2018.2809575.

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28

Lim, S. C. J., and B. T. Tee. "A Preliminary Review of Building Informatics for Sustainable Energy Management." Journal of Physics: Conference Series 1019 (June 2018): 012032. http://dx.doi.org/10.1088/1742-6596/1019/1/012032.

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29

You, Jun, and Zongrong Li. "New Science Building and Research: From Systems Biology to Theoretical Informatics." tripleC: Communication, Capitalism & Critique. Open Access Journal for a Global Sustainable Information Society 9, no. 2 (October 30, 2011): 404–13. http://dx.doi.org/10.31269/triplec.v9i2.293.

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Briefly introduced the status and related theories foundation of Theoretical Informatics (TI) and Systems Biology (SB). These two disciplines were compared and analyzed in the three aspects of the background, epistemological ap- proach, informational energy of open systems, thus demonstrating the similar attributes or characteristics of the two disci- plines, and indirectly discoursing the necessity, the rationality, the feasibility and the vital significance of the establishment and researches for TI. The paper also explores how to draw, reference SB model of development to promote the prosperity and great development of TI.
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You, Jun, and Zongrong Li. "New Science Building and Research: From Systems Biology to Theoretical Informatics." tripleC: Communication, Capitalism & Critique. Open Access Journal for a Global Sustainable Information Society 9, no. 2 (October 30, 2011): 404–13. http://dx.doi.org/10.31269/vol9iss2pp404-413.

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Briefly introduced the status and related theories foundation of Theoretical Informatics (TI) and Systems Biology (SB). These two disciplines were compared and analyzed in the three aspects of the background, epistemological ap- proach, informational energy of open systems, thus demonstrating the similar attributes or characteristics of the two disci- plines, and indirectly discoursing the necessity, the rationality, the feasibility and the vital significance of the establishment and researches for TI. The paper also explores how to draw, reference SB model of development to promote the prosperity and great development of TI.
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Staake, Thorsten, and Hans-Jürgen Appelrath. "Editorial for the third D-A-CH conference on energy informatics." Computer Science - Research and Development 31, no. 1-2 (February 17, 2015): 1–2. http://dx.doi.org/10.1007/s00450-015-0296-x.

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32

Giyatno, Dhanis Woro Fittrin Selo Nur, Lukman Bagus Subekti, Adlan Bagus Pradana, Indriana Nurmawati, and Indra Wibowo. "OPTIMALISASI KAPASITAS ENERGI ANGIN DAN MATAHARI DENGAN KONFIGURASI MIKROGRID BERDASARKAN KARAKTERISTIK BEBAN." Jurnal Teknosains 10, no. 2 (August 5, 2021): 170. http://dx.doi.org/10.22146/teknosains.46109.

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Diploma III Electrical Technology Study Program is a institutional vocational education institutional in Department of Electrical Engineering and Informatics that aims to produce graduate who are ready to work in operation and maintenance of power system. Since phenomena of scarcity of fossil fuels, study program meet the 2 major problems, namely the limitations of electrical energy for practical lab work and increased job skills on the electrical energy conversion of electrical energy from renewable energy. The purpose of this research is to optimalize capacity of solar and wind energy contained in the environment of the laboratory on the microgrid configuration, namely PV-Wind turbine-Battery. Software HOMER is used to simulate microgrid configuration with AC-DC load, AC load, and DC load. The results show indicate that microgrid PV-Wind turbine-Battery is more economically to meet the need AC-DC load than the others.
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Mishra, Deepti, and Alok Mishra. "Sustainability Inclusion in Informatics Curriculum Development." Sustainability 12, no. 14 (July 17, 2020): 5769. http://dx.doi.org/10.3390/su12145769.

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(1) Background: Presently, sustainability is a crucial issue for human beings due to many disasters owing to climate change. Information Technology (IT) is now part of everyday life in society due to the proliferation of gadgets such as mobile phones, apps, computers, information systems, web-based systems, etc. (2) Methods: The analysis is based on recent ACM/IEEE curriculum guidelines for IT, a rigorous literature review as well as various viewpoints and their relevance for sustainability-oriented curriculum development; it also includes an assessment of key competencies in sustainability for proposed units in the IT curriculum. (3) Results: Sustainability is a critical subject for prospective IT professionals. Therefore, it is imperative to motivate and raise awareness among students and the faculty community regarding sustainability through its inclusion in the Informatics curriculum. This paper focuses on how sustainability can be included in various courses of the Informatics curriculum. It also considers recent ACM/IEEE curriculum guidelines for IT professionals, which assert that IT students should explore IT strategies required for developing a culture of green and sustainable IT. (4) Conclusions: This paper provides guidelines for IT curriculum development by incorporating sustainable elements in courses, so that future IT professionals can learn and practice sustainability in order to develop a sustainable society.
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Halkos, George, and Kyriaki Tsilika. "Visual Exploration of Energy Use in EU 28: Dynamics, Patterns, Policies." Energies 14, no. 22 (November 11, 2021): 7532. http://dx.doi.org/10.3390/en14227532.

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The paper places emphasis on primary energy resources, their covariation, and their correlation with socioeconomic factors and aims to provide a systematic analysis of their development over time. The analysis uses evidence from European Union (EU) country-level data and is based on visual analytics techniques. Different results from the same territories show that energy consumption does not always reflect or is due to climatological or meteorological conditions. Extensive use of visualization is adopted as a means of contributing to the understanding of energy use, some involved problems and concepts, and energy consumption trends over time. We present an approach that addresses the informatics challenges based on the integration of visualization software, data integration, and cluster analysis. Our cross-sectional energy review advocates that EU energy leaders are moving towards a low-carbon economy. The correlations of energy variables with economic and pollution effects are stronger in greater levels of energy use, which means that energy use has an obvious impact on economic growth and the environment. Visual and automated methods employed for the analysis, reveal the direction, the strength, and the nature of the dependence structure, in clusters covering the range of energy use in EU 28 countries.
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Mayer, Isabella V., and Roland J. Koerner. "From solar energy to biomedicine." Technology and Health Care 5, no. 4 (July 1, 1997): 275–83. http://dx.doi.org/10.3233/thc-1997-5402.

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Patel, Anish G., Luke Johnson, Raymundo Arroyave, and Jodie L. Lutkenhaus. "Design of multifunctional supercapacitor electrodes using an informatics approach." Molecular Systems Design & Engineering 4, no. 3 (2019): 654–63. http://dx.doi.org/10.1039/c8me00060c.

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Teichrieb, Veronica, and The VOXAR Labs Team. "VOXAR Labs - augmenting experiences for a better life." Journal on Interactive Systems 2, no. 2 (November 16, 2011): 1. http://dx.doi.org/10.5753/jis.2011.589.

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The VOXAR Labs is a research group with the mission of developing people by augmenting experiences. It develops and transfers technology related to visualization, tracking and natural interaction techniques focusing augmented reality in multi-disciplinary application domains. The laboratory has several ongoing projects including an international cooperation, projects with the industry, involving energy and military ones, as well as research and academic projects. VOXAR Labs is part of the Informatics Center of the Federal University of Pernambuco, located in Recife – Pernambuco, Brazil.
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Alier, Marc. "Information Systems, E-Learning and Knowledge Management (in the Times of COVID)." Sustainability 13, no. 19 (September 26, 2021): 10674. http://dx.doi.org/10.3390/su131910674.

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39

Idries, Ahmed, John Krogstie, and Jayaprakash Rajasekharan. "Dynamic Capabilities in Electrical Energy Digitalization: A Case from the Norwegian Ecosystem." Energies 15, no. 22 (November 8, 2022): 8342. http://dx.doi.org/10.3390/en15228342.

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This paper aims to identify the dynamic capabilities required for electrical energy service providers to transform toward a digital and platform-based business models in the context of the current energy transition. The paper contributes to two fields: Information systems in the domain of platforms ecosystems and digital services innovation through the usage of dynamic capabilities theoretical lens and the field of energy informatics in the domain of digital business models and service innovation. Through the case study approach we investigate the case of Norwegian electrical energy provider TrønderEnergi and how the company is moving toward a fully digital business model and how the company build the dynamic capabilities required for the digitalization era. Through semi-structured interviews, the study managed to identify several activities related to each capability and then classified these activities under three main activities, which are: sensing, seizing, and transforming, and then classified them into sub-capabilities and identified activities related to each sup capability. The paper concludes with managerial implications for practitioners and initiates an empirical extension for the dynamic capabilities theoretical lens.
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Sehnalek, Stanislav, and Martin Kolacek. "Customization of laboratory for radiant cooling ceiling measurements." MATEC Web of Conferences 210 (2018): 04040. http://dx.doi.org/10.1051/matecconf/201821004040.

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In this article is examine Laboratory of Environmental Engineering at Faculty of applied informatics under Tomas Bata University in Zlin. This laboratory is performing standardized test of special HVAC equipments. This article describes newly made customization for measuring radiant cooling ceilings. Firstly is described previous situation which is concluded by necessary changes. It is mentioned energy supplies and newly made connection for cooling ceilings. Whole article is sum up by description of samples on which would be done verification of measurement space and methodology.
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Jan, Mian Ahmad, Fazlullah Khan, Spyridon Mastorakis, Muhammad Adil, Aamir Akbar, and Nicholas Stergiou. "LightIoT: Lightweight and Secure Communication for Energy-Efficient IoT in Health Informatics." IEEE Transactions on Green Communications and Networking 5, no. 3 (September 2021): 1202–11. http://dx.doi.org/10.1109/tgcn.2021.3077318.

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Sangaiah, Arun Kumar, Ali Shokouhi Rostami, Ali Asghar Rahmani Hosseinabadi, Morteza Babazadeh Shareh, Amir Javadpour, Shirin Hatami Bargh, and Mohammad Mehedi Hassan. "Energy-Aware Geographic Routing for Real-Time Workforce Monitoring in Industrial Informatics." IEEE Internet of Things Journal 8, no. 12 (June 15, 2021): 9753–62. http://dx.doi.org/10.1109/jiot.2021.3056419.

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Cai, Wenli, Se Hyung Kim, June-Goo Lee, and Hiroyuki Yoshida. "Informatics in Radiology: Dual-Energy Electronic Cleansing for Fecal-Tagging CT Colonography." RadioGraphics 33, no. 3 (May 2013): 891–912. http://dx.doi.org/10.1148/rg.333125039.

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Bearman, David, and Jennifer Trant. "Introduction: When museum informatics meets the World Wide Web, it generates energy." Journal of the American Society for Information Science 51, no. 1 (2000): 3–4. http://dx.doi.org/10.1002/(sici)1097-4571(2000)51:1<3::aid-asi2>3.0.co;2-0.

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45

Billinge, Roy, and George Shering. "Controls and informatics — the integration issue." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 352, no. 1-2 (December 1994): 244–46. http://dx.doi.org/10.1016/0168-9002(94)91512-1.

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46

Lisok, Joanna. "Application of Modern Technology to Improve Safety in the Automotive Industry." Solid State Phenomena 246 (February 2016): 271–74. http://dx.doi.org/10.4028/www.scientific.net/ssp.246.271.

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The paper presents a quick survey of current informatics technologies in automotive industry. To reach a high level of safety requirement and minimize the occurrence and consequences of automobile accidents number of studies have been investigated on the prediction the crash event. These investigations are performed by both techniques: numerical and experimental and they can significantly improve crashworthiness of selected auto-parts such a bumper-beam or crash-box under impact loadings. Describe several different methods and materials to optimize the shape of these parts for maximum energy absorption. Since the crash-box is one of the most important automotive parts for crash energy absorption a fully dialed process technology of those parts was simulated using FEM and presented in this study.
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47

E, Erjiang, Tingyan Wang, Lan Yang, Mary Dempsey, Attracta Brennan, Ming Yu, Wing P. Chan, et al. "The Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project." BMJ Open 10, no. 12 (December 2020): e040488. http://dx.doi.org/10.1136/bmjopen-2020-040488.

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PurposeThe purpose of the Irish dual-energy X-ray absorptiometry (DXA) Health Informatics Prediction (HIP) for Osteoporosis Project is to create a large retrospective cohort of adults in Ireland to examine the validity of DXA diagnostic classification, risk assessment tools and management strategies for osteoporosis and osteoporotic fractures for our population.ParticipantsThe cohort includes 36 590 men and women aged 4–104 years who had a DXA scan between January 2000 and November 2018 at one of 3 centres in the West of Ireland.Findings to date36 590 patients had at least 1 DXA scan, 6868 (18.77%) had 2 scans and 3823 (10.45%) had 3 or more scans. There are 364 unique medical disorders, 186 unique medications and 46 DXA variables identified and available for analysis. The cohort includes 10 349 (28.3%) individuals who underwent a screening DXA scan without a clear fracture risk factor (other than age), and 9947 (27.2%) with prevalent fractures at 1 of 44 skeletal sites.Future plansThe Irish DXA HIP Project plans to assess current diagnostic classification and risk prediction algorithms for osteoporosis and fractures, identify the risk predictors for osteoporosis and develop novel, accurate and personalised risk prediction tools, by using the large multicentre longitudinal follow-up cohort. Furthermore, the dataset may be used to assess, and possibly support, multimorbidity management due to the large number of variables collected in this project.
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Yu, Jia-Ruei, Chun-Hsien Chen, Tsung-Wei Huang, Jang-Jih Lu, Chia-Ru Chung, Ting-Wei Lin, Min-Hsien Wu, Yi-Ju Tseng, and Hsin-Yao Wang. "Energy Efficiency of Inference Algorithms for Clinical Laboratory Data Sets: Green Artificial Intelligence Study." Journal of Medical Internet Research 24, no. 1 (January 25, 2022): e28036. http://dx.doi.org/10.2196/28036.

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Background The use of artificial intelligence (AI) in the medical domain has attracted considerable research interest. Inference applications in the medical domain require energy-efficient AI models. In contrast to other types of data in visual AI, data from medical laboratories usually comprise features with strong signals. Numerous energy optimization techniques have been developed to relieve the burden on the hardware required to deploy a complex learning model. However, the energy efficiency levels of different AI models used for medical applications have not been studied. Objective The aim of this study was to explore and compare the energy efficiency levels of commonly used machine learning algorithms—logistic regression (LR), k-nearest neighbor, support vector machine, random forest (RF), and extreme gradient boosting (XGB) algorithms, as well as four different variants of neural network (NN) algorithms—when applied to clinical laboratory datasets. Methods We applied the aforementioned algorithms to two distinct clinical laboratory data sets: a mass spectrometry data set regarding Staphylococcus aureus for predicting methicillin resistance (3338 cases; 268 features) and a urinalysis data set for predicting Trichomonas vaginalis infection (839,164 cases; 9 features). We compared the performance of the nine inference algorithms in terms of accuracy, area under the receiver operating characteristic curve (AUROC), time consumption, and power consumption. The time and power consumption levels were determined using performance counter data from Intel Power Gadget 3.5. Results The experimental results indicated that the RF and XGB algorithms achieved the two highest AUROC values for both data sets (84.7% and 83.9%, respectively, for the mass spectrometry data set; 91.1% and 91.4%, respectively, for the urinalysis data set). The XGB and LR algorithms exhibited the shortest inference time for both data sets (0.47 milliseconds for both in the mass spectrometry data set; 0.39 and 0.47 milliseconds, respectively, for the urinalysis data set). Compared with the RF algorithm, the XGB and LR algorithms exhibited a 45% and 53%-60% reduction in inference time for the mass spectrometry and urinalysis data sets, respectively. In terms of energy efficiency, the XGB algorithm exhibited the lowest power consumption for the mass spectrometry data set (9.42 Watts) and the LR algorithm exhibited the lowest power consumption for the urinalysis data set (9.98 Watts). Compared with a five-hidden-layer NN, the XGB and LR algorithms achieved 16%-24% and 9%-13% lower power consumption levels for the mass spectrometry and urinalysis data sets, respectively. In all experiments, the XGB algorithm exhibited the best performance in terms of accuracy, run time, and energy efficiency. Conclusions The XGB algorithm achieved balanced performance levels in terms of AUROC, run time, and energy efficiency for the two clinical laboratory data sets. Considering the energy constraints in real-world scenarios, the XGB algorithm is ideal for medical AI applications.
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Cohen, Adam B., Sonia Chernova, James Giordano, Frank Guerin, Kris Hauser, Bipin Indurkhya, Matteo Leonetti, et al. "Reports on the 2014 AAAI Fall Symposium Series." AI Magazine 36, no. 3 (September 28, 2015): 107–12. http://dx.doi.org/10.1609/aimag.v36i3.2607.

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The AAAI 2014 Fall Symposium Series was held Thursday through Saturday, November 13–15, at the Westin Arlington Gateway in Arlington, Virginia adjacent to Washington, DC. The titles of the seven symposia were Artificial Intelligence for Human-Robot Interaction, Energy Market Prediction, Expanding the Boundaries of Health Informatics Using AI, Knowledge, Skill, and Behavior Transfer in Autonomous Robots, Modeling Changing Perspectives: Reconceptualizing Sensorimotor Experiences, Natural Language Access to Big Data, and The Nature of Humans and Machines: A Multidisciplinary Discourse. The highlights of each symposium are presented in this report.
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Akhtar, Shamim, Muhamad Zahim Bin Sujod, and Syed Sajjad Hussain Rizvi. "An Intelligent Data-Driven Approach for Electrical Energy Load Management Using Machine Learning Algorithms." Energies 15, no. 15 (August 8, 2022): 5742. http://dx.doi.org/10.3390/en15155742.

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Data-driven electrical energy efficiency management is the emerging trend in electrical energy forecasting and management. This fusion of data science, artificial intelligence, and electrical energy management has turned out to be the most precise and robust energy management solution. The Smart Energy Informatics Lab (SEIL) of the Indian Institute of Technology (IIT) conducted an experimental study in 2019 to collect massive data on university campus energy consumption. The comprehensive comparative study preparatory to the recommendation of the best candidate out of 24 machine learning algorithms on the SEIL dataset is presented in this work. In this research work, an exhaustive parametric and empirical comparative study is conducted on the SEIL dataset for the recommendation of the optimal machine learning algorithm. The simulation results established the findings that Bagged Trees, Fine Trees, and Medium Trees are, respectively, the best-, second-best-, and third-best-performing algorithms in terms of efficacy. On the contrary, a reverse ranking is observed in terms of efficiency. This is grounded in the fact that Bagged Trees is most effective algorithm for the said application and Medium Trees is the most efficient one. Likewise, Fine Trees has the optimum tradeoff between efficacy and efficiency.
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