2022
DOI: 10.1016/j.heliyon.2022.e12345
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Economic modelling of electricity generation: long short-term memory and Q-rung orthopair fuzzy sets

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Cited by 25 publications
(1 citation statement)
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“…A spatial econometric model is applied to precisely estimate the role of technical assistance for energy poverty in sub-Saharan African countries, compensating for the shortcomings of traditional econometric models [35]. To study the correlation and the effect weight among multiple variables, [36] adopted the economic model based on fuzzy decision-making; the dynamic conditional correlation mixed-data sampling model is applied in [37,38], presents mathematic regression to analyze the influence of the environmental innovations on economics, and the Granger causality test approach and the impulse response function analysis are given in [39]. In the field of smart apartment buildings, compared to several energy resources, a Pareto front is generated through multiobjective optimization with cases using k-means to simplify annual data, reducing the total cost and carbon dioxide emissions [40,41].…”
Section: Introductionmentioning
confidence: 99%
“…A spatial econometric model is applied to precisely estimate the role of technical assistance for energy poverty in sub-Saharan African countries, compensating for the shortcomings of traditional econometric models [35]. To study the correlation and the effect weight among multiple variables, [36] adopted the economic model based on fuzzy decision-making; the dynamic conditional correlation mixed-data sampling model is applied in [37,38], presents mathematic regression to analyze the influence of the environmental innovations on economics, and the Granger causality test approach and the impulse response function analysis are given in [39]. In the field of smart apartment buildings, compared to several energy resources, a Pareto front is generated through multiobjective optimization with cases using k-means to simplify annual data, reducing the total cost and carbon dioxide emissions [40,41].…”
Section: Introductionmentioning
confidence: 99%