Name: Decision Making and Artificial Intelligence in Public Elect
SKU: 64347300
Price: 14.37 EUR
Availability: InStock
Author: Fabricio Quadros Borges

portada Decision Making and Artificial Intelligence in Public Elect

Decision Making and Artificial Intelligence in Public Elect

Type

Physical Book

Publisher

Clube De Autores

Author

Fabricio Quadros Borges

Language

English

Pages

ISBN13

9786500989182

Edited in

Brasil

Decision Making and Artificial Intelligence in Public Elect

Fabricio Quadros Borges (Author) · Clube De Autores · Physical Book

New Book Imported to Netherlands

Delivery: 02 Sep - 04 Sep

€ 14,37

Import costs and 9% BTW included in the price ✅

€ 14,37

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Synopsis "Decision Making and Artificial Intelligence in Public Elect"

The analyzes carried out by artificial intelligence must start from a complete and integrated data structure, which is classified and grouped with the intention of synergistically producing mental and predictive captures. In this perspective, the objective of this study is to analyze the possibility of contribution of artificial intelligence in guiding decision-making in the public planning of sustainable electrical matrices. The methodological procedures of this investigation, built a structure of analysis of electricity sources, based on the economic, social, environmental and technological dimensions; as well as a sectoral analysis structure of energy sustainability indicators, supported by linear correlations of an economic, social, environmental and political nature. The planning of electrical matrices, according to the inferences of this investigation, can use artificial intelligence as a strategic guide for decisions, as long as they are based on analysis structures focused on the strategic use of electricity sources and the use of sectoral and multidimensional indicators. This investigation constitutes an original contribution insofar as it discusses the possibilities of connections between artificial intelligence and the construction of electrical matrices, from the perspective of improving the decision-making process in Brazilian public planning. The discussion about these connections helps to raise subsidies for machine learning to process and develop methodologies, based on algorithms, that automate the construction of decision analysis models in the planning and sustainable construction of the use of electricity.