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Artificial Intelligence for Smart and Sustainable Energy Systems and Applications

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ISBN: 9783039288892 / 9783039288908 Year: Pages: 258 DOI: 10.3390/books978-3-03928-890-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-06-09 16:38:57
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Abstract

Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists—namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities.

MaxEnt 2019—Proceedings, 2019, MaxEnt 2019The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

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ISBN: 9783039284764 9783039284771 Year: Pages: 312 DOI: 10.3390/books978-3-03928-477-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Mathematics
Added to DOAB on : 2020-04-07 23:07:09
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This Proceedings book presents papers from the 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, MaxEnt 2019. The workshop took place at the Max Planck Institute for Plasma Physics in Garching near Munich, Germany, from 30 June to 5 July 2019, and invited contributions on all aspects of probabilistic inference, including novel techniques, applications, and work that sheds new light on the foundations of inference. Addressed are inverse and uncertainty quantification (UQ) and problems arising from a large variety of applications, such as earth science, astrophysics, material and plasma science, imaging in geophysics and medicine, nondestructive testing, density estimation, remote sensing, Gaussian process (GP) regression, optimal experimental design, data assimilation, and data mining.

Sustainable Energy Systems Planning, Integration and Management

Authors: --- --- --- --- et al.
ISBN: 9783039280469 9783039280476 Year: Pages: 286 DOI: 10.3390/books978-3-03928-047-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-01-30 16:39:46
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Energy systems worldwide are undergoing major transformation as a consequence of the transition towards the widespread use of clean and sustainable energy sources. Basically, this involves massive changes in technical and organizational levels together with tremendous technological upgrades in different sectors ranging from energy generation and transmission systems down to distribution systems. These actions generate huge science and engineering challenges and demands for expert knowledge in the field to create solutions for a sustainable energy system that is economically, environmentally, and socially viable while meeting high security requirements. This book covers these promising and dynamic areas of research and development, and presents contributions in sustainable energy systems planning, integration, and management. Moreover, the book elaborates on a variety of topics, ranging from design and planning of small- to large-scale energy systems to the operation and control of energy networks in different sectors, namely electricity, heat, ?and transport.

Keywords

Black Sea --- Romanian coastal environment --- wave energy --- numerical models --- SWAN --- renewable energy --- environment --- solid waste to energy plant --- FANP --- TOPSIS --- fuzzy logic --- MCDM --- smart logistics system --- smart box --- information platform --- renewable biomass energy --- agricultural pruning --- cuckoo search algorithm --- support vector machine --- ensemble empirical mode decomposition --- wind speed forecasting --- forecasting validity --- smart logistics system --- information platform --- pruning biomass --- performance evaluation --- product quality model --- product usability testing --- rural residential building --- solar energy --- heat transfer --- wind velocities --- field test and numerical simulation --- renewable energy --- load regulation --- datacenter --- smart grid --- demand response --- threshold value of daily operation hours --- intermittent heating --- configurations of internal wall --- heat storage and release --- hot summer and cold winter climate zone --- dual robust optimization --- risk aversion --- energy and environmental systems --- vehicular emissions --- multiple uncertainties --- photovoltaic systems --- meteorological variables --- electric power --- gradient descent --- sustainable development --- optimal chiller loading (OCL) --- uncertain cooling demand --- information gap decision theory (IGDT) --- mixed-integer non-linear programming problem (MINLP) --- novel method --- internal coverings --- neural networks --- energy --- thermal comfort --- control system --- resampling --- feature extraction --- non-intrusive load monitoring --- pure electric buses --- multi-type bus operating organization --- time-space network --- energy consumption --- public transport --- n/a

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2020 (3)