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Monitoring, Predicting, and Optimizing Energy Consumptions: A Goal Toward Global Sustainability

Monitoring, Predicting, and Optimizing Energy Consumptions: A Goal Toward Global Sustainability

Pedro J. S. Cardoso, Jânio Monteiro, Cristiano Cabrita, Jorge Semião, Dario Medina Cruz, Nelson Pinto, Célia M.Q. Ramos, Luís M. R. Oliveira, João M. F. Rodrigues
Copyright: © 2022 |Pages: 28
ISBN13: 9781668436660|ISBN10: 1668436663|EISBN13: 9781668436677
DOI: 10.4018/978-1-6684-3666-0.ch064
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MLA

Cardoso, Pedro J. S., et al. "Monitoring, Predicting, and Optimizing Energy Consumptions: A Goal Toward Global Sustainability." Research Anthology on Smart Grid and Microgrid Development, edited by Information Resources Management Association, IGI Global, 2022, pp. 1409-1436. https://doi.org/10.4018/978-1-6684-3666-0.ch064

APA

Cardoso, P. J., Monteiro, J., Cabrita, C., Semião, J., Cruz, D. M., Pinto, N., Ramos, C. M., Oliveira, L. M., & Rodrigues, J. M. (2022). Monitoring, Predicting, and Optimizing Energy Consumptions: A Goal Toward Global Sustainability. In I. Management Association (Ed.), Research Anthology on Smart Grid and Microgrid Development (pp. 1409-1436). IGI Global. https://doi.org/10.4018/978-1-6684-3666-0.ch064

Chicago

Cardoso, Pedro J. S., et al. "Monitoring, Predicting, and Optimizing Energy Consumptions: A Goal Toward Global Sustainability." In Research Anthology on Smart Grid and Microgrid Development, edited by Information Resources Management Association, 1409-1436. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-6684-3666-0.ch064

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Abstract

Energy consumption and, consequently, the associated costs (e.g., environmental and monetary) concern most individuals, companies, and institutions. Platforms for the monitoring, predicting, and optimizing energy consumption are an important asset that can contribute to the awareness about the ongoing usage levels, but also to an effective reduction of these levels. A solution is to leave the decisions to smart system, supported for instance in machine learning and optimization algorithms. This chapter involves those aspects and the related fields with emphasis in the prediction of energy consumption to optimize its usage policies.

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