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Technical assessment of small-scale wind power for residential use in Mexico: A Bayesian intelligence approach

Monica Borunda, Javier de la Cruz, Raul Garduno-Ramirez, Ann Nicholson, Fausto Cavallaro
2020 PLoS ONE  
To demonstrate the usefulness and performance of the proposed model, we consider a case study of deploying 5 and 10 kW wind turbines and analyze the feasibility of their implementation in Mexico, where  ...  With this aim, we propose to perform such an analysis using a suitable probabilistic paradigm to solve complex decision-making problems with uncertainty, namely Bayesian Intelligence, since wind resources  ...  The Intelligent Bayesian Decision-Making section presents key basic concepts of Bayesian artificial intelligence for decision-making.  ... 
doi:10.1371/journal.pone.0230122 pmid:32163479 fatcat:u2xfkij43bcljo3i7drpaxg3be

Forecasting methods in energy planning models

Kumar Biswajit Debnath, Monjur Mourshed
2018 Renewable & Sustainable Energy Reviews  
However, collectively, more models were established for the developed countries than the developing ones.  ...  Methodology A systematic state-of-the-art review was undertaken on published electronic and non-electronic resources for the study of underlying forecasting methods in EPMs.  ...  Energy Conversion and Management, 2006. 47(15):2128-42. 178. Hill, T., et al., Artificial neural network models for forecasting and decision making.  ... 
doi:10.1016/j.rser.2018.02.002 fatcat:ypu23l2uobcrdhylxv324wgnq4

Machine learning applications for COVID-19: A state-of-the-art review [article]

Firuz Kamalov, Aswani Cherukuri, Hana Sulieman, Fadi Thabtah, Akbar Hossain
2021 arXiv   pre-print
The body of literature related to applications of machine learning and artificial intelligence to COVID-19 is constantly growing.  ...  In contrast to other existing surveys on the subject, our article presents a high level overview of the current research that is sufficiently detailed to provide an informed insight.  ...  A number of software solutions based on artificial intelligence are currently in use to trace spread of the virus.  ... 
arXiv:2101.07824v1 fatcat:c4j7gxwhdndobd5x6yvqeehvny

Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

Manuel Sousa, Maria Fatima Almeida, Rodrigo Calili
2021 Sustainability  
Besides, the state-of-art review provides an improved understanding of this research field and directions for building a research agenda for those interested in advancing the research on MCDM applications  ...  The main objective of this paper is to present a systematic literature review (SLR) on MCDM methods supporting decisions focusing on the achievement of UN Sustainable Development Goals (SDGs) and the implementation  ...  Finally, four studies can be highlighted regarding the use of fuzzy logic and artificial intelligence combined with MCDM methods.  ... 
doi:10.3390/su13084129 fatcat:u27zsxt6z5dsnfzy5grh5ejgwu

Identifying Capabilities and Potentials of System Dynamics in Hydrology and Water Resources as a Promising Modeling Approach for Water Management

Ahmed F. Mashaly, Alexander G. Fernald
2020 Water  
Recent trends in the integration of SD with other modeling systems, such as artificial intelligence systems, are discussed along with the limitations and challenges facing application.  ...  Accordingly, this review seeks to include a comprehensive and up-to-date survey of existing publications and scholarly papers on the use of SD modeling as an effective technique for dealing with different  ...  Conflicts of Interest: The authors declare no conflicts of interest. Water 2020, 12, 1432  ... 
doi:10.3390/w12051432 fatcat:n62fxhdzdngohdbixqq7nwnb5i

Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature

Tan Yigitcanlar, Kevin C. Desouza, Luke Butler, Farnoosh Roozkhosh
2020 Energies  
Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the use of AI for urban innovation continues to grow.  ...  (c) AI applications in the context of smart cities mainly concentrate on business efficiency, data analytics, education, energy, environmental sustainability, health, land use, security, transport, and  ...  To better understand of the use of ensemble models for predicting building energy use.  ... 
doi:10.3390/en13061473 fatcat:ynlbnwsqjvcqnpuvmhwns7bgwu

Pandemic coronavirus disease (Covid‐19): World effects analysis and prediction using machine‐learning techniques

Dimple Tiwari, Bhoopesh Singh Bhati, Fadi Al‐Turjman, Bharti Nagpal
2021 Expert systems  
This study demonstrates the various trends and future growth of the global pandemic for a proactive response from the citizens and governments of countries.  ...  Statistical analysis has also been conducted to present various facts regarding Covid-19 observed symptoms, a list of Top-20 Coronavirus affected countries and a number of coactive cases over the world  ...  Malaysian context was used as a case study to validate the experiments of the proposed algorithm.  ... 
doi:10.1111/exsy.12714 pmid:34177035 pmcid:PMC8209956 fatcat:qwt5c4pfs5ecrm53hrbwd5wnlm

Modelo de Sistema Basado en Conocimiento para Apoyo en la Investigación y Proceso Clínico de la Diabetes

Alfonso Hernández-Medrano, Guillermo Urriolagoitia-Calderón, Luis Manuel Hernández-Simón, Luis Héctor Hernández-Gómez
2012 Revista Colombiana de Biotecnología  
Likewise, they r thanks to SIP-IPN for the scholarship granted by means of project SIP 2009 0857.  ...  Acknowledgements The authors present their acknowledgement and gratitude to the National Council for Science and Technology (CONACYT), for the scholarship granted with the number 16841 and the file 215363  ...  In simulation case studies with a bioreactor dynamical hybrid model that combines first principles modeling with artificial neural networks, Oliveira (2004) states that hybrid modeling through knowledge  ... 
doaj:2b58de6b323f4f1a9bba62146bf70ef1 fatcat:aggta4mb3jczfbrijxqiphspdi

Short-term wind speed forecasting in Uruguay using computational intelligence

P.J. Zucatelli, E.G.S. Nascimento, G.Y.R. Aylas, N.B.P. Souza, Y.K.L. Kitagawa, A.A.B. Santos, A.M.G. Arce, D.M. Moreira
2019 Heliyon  
To train the ANN and validate the technique, data for one year are collected by one tower, with anemometers installed at heights of 101.8, 81.8, 25.7, and 10.0 m.  ...  Short-term wind speed forecasting for Colonia Eulacio, Soriano Department, Uruguay, is performed by applying an artificial neural network (ANN) technique to the hourly time series representative of the  ...  Alencar et al. (2017) developed ultra-short, short, medium, and long-term prediction models for the wind speed based on artificial-intelligence and computational-intelligence techniques, including artificial  ... 
doi:10.1016/j.heliyon.2019.e01664 pmid:31193100 pmcid:PMC6517329 fatcat:a6c5uwjvlvekvb53lqlcpduzaa

Mejoras al desempeño energético en edificaciones abordando los desafíos actuales del demand-side: Una revisión de contribuciones de Latinoamérica

A pesar de los esfuerzos para incluir a los países subdesarrollados en dicho proceso de decisión, la mayoría de las contribuciones continúan estando inclinadas al hemisferio norte.  ...  Debido a la actual crisis energética mundial y como resultado de los acuerdos de las naciones participantes, se han establecido medidas por las Naciones Unidas para superar los desafíos relacionados.  ...  , the implementation of artificial intelligence.  ... 
doi:10.37135/ns.01.06.10 fatcat:dsxa6efvtfcwfn7woozkap7h7q

A consensus model for large scale using hesitant information

R.M. Rodríguez, L. Martínez, G. De Tré
2018 Data Science and Knowledge Engineering for Sensing Decision Support  
For more than twenty years FLINS has been extended to a well-established worldwide and multidisciplinary research forum to advance the foundations and applications of computational intelligence for applied  ...  research in general and for complex engineering and decision support systems.  ...  Acknowledgments The work was supported by the research project TIN2015-66524-P, Postdoctoral fellow (IJCI-2015-23715), Spanish mobility program Jose Castillejo (CAS15/00047) and ERDF.  ... 
doi:10.1142/9789813273238_0027 fatcat:jpdsghdayfehdmwuuzpgh7vu44

Energies and Its Worldwide Research

Nuria Novas, Alfredo Alcayde, Isabel Robalo, Francisco Manzano-Agugliaro, Francisco G. Montoya
2020 Energies  
Energy efficiency and management is certainly one of the key drivers of human progress. Thus, the trends in the energy research are a topic of interest for the scientific community.  ...  The aim of this study is to highlight global research trends in this field through the analysis of a scientific journal indexed exclusively in the energy and fuels category.  ...  Acknowledgments: Under I+D+I Project UAL18-TIC-A025-A, University of Almeria, the Ministry of Economy, Knowledge, Business and University, and the European Regional Development Fund (FEDER); Andalusian  ... 
doi:10.3390/en13246700 fatcat:37mldrd7hrcwhmhuhlme7m5efa

Other weapons of mass destruction [chapter]

1997 United Nations Disarmament Yearbook 1995  
New studies are suggesting that dark matter and Artificial Intelligence has actually affected the evolution of life on Earth and can be a source of new Weapons of Mass Destruction (WMD).  ...  Dark matter is an exotic form of matter that can only be detected by its gravitational pull on other objectsother than this, and it is invisible.  ...  (CIO, 2017) Artificial Intelligence is the future Russian President Vladimir Putin adressed 16, 000 schools in his country with the statement: "Artificial intelligence is the future, not only for Russia  ... 
doi:10.18356/b530c968-en fatcat:3styatn5cbblvnbuvuokse652a

Recent developments of the Internet of Things in Agriculture: A Survey

Vippon Preet Kour, Sakshi Arora
2020 IEEE Access  
Hybridization of species along with the real-time monitoring of the farms paved a way for resource optimization.  ...  Based on the concepts of IoT a precision farming framework is also proposed in this article.  ...  By combining the concepts of artificial intelligence and prediction algorithms to develop the expert system, capable of predicting, analyzing, and decision making.  ... 
doi:10.1109/access.2020.3009298 fatcat:b7tt3mizaffbrgpaytazftaine

A Systematic Mapping of the Advancing Use of Machine Learning Techniques for Predictive Maintenance in the Manufacturing Sector

Milena Nacchia, Fabio Fruggiero, Alfredo Lambiase, Ken Bruton
2021 Applied Sciences  
The increasing availability of data, gathered by sensors and intelligent machines, is changing the way decisions are made in the manufacturing sector.  ...  Hence, in this paper, we focus on data-driven methods for predictive maintenance (PdM) with a comprehensive survey on applications and methods until, for the sake of commenting on stable proposal, 2019  ...  On the counterpart, is makes use of artificial intelligence (as a branch of computer science) as the coding program (generally in the form of network) that can sense, reason, act and react to the external  ... 
doi:10.3390/app11062546 fatcat:ywelin4a5nbtnh3nm65wqnbsfu
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