Energy Consumption Analysis and Multi-objective Operation optimization of Intelligent Building System Based on TRNSYS-MATLAB

Deng, Boya; Zhang, Ying; Zhang, Pingkang; Zhou, Xiaofei; Lv, Hui; Tang, Dongjun

doi:10.1109/ceepe51765.2021.9475667

Cited by 1 publication

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“…It then selects several individuals from the population and generates new offspring according to certain rules. The process continues by generating new individuals, retaining the fittest ones, and eliminating the weaker ones until the population reaches an optimal state [13]. The flowchart of the DE algorithm [14] is illustrated in Figure 5.…”

Section: Determination Of Business Strategymentioning

confidence: 99%

Research and Analysis of Vegetable Pricing Strategy Model Based on Single Objective Optimization Algorithm

2023

infse

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For vegetable sellers, appropriate purchasing and pricing strategies can generate greater profits. This paper explores the periodicity of sales volume for different categories of vegetables using wavelet analysis, and analyzes the differences between different categories through t-tests. Specifically. (1) representative daily average sales volumes of individual products are selected for Spearman correlation analysis, revealing weak correlations among different products within the same category, but strong correlations among certain products from different categories; (2) the relationship between sales volume and selling price, cost price data for each category is analyzed, revealing an exponential relationship between sales volume and selling price/cost price. Based on the principle of market lag, a single-objective optimization model is established to maximize profits; (3) the model is solved using differential evolution algorithm to obtain the optimal pricing and purchasing quantities for each category of vegetables. After implementing the strategies, the benefits have increased by approximately 167% (aquatic root and stem vegetables), 55% (flower and leaf vegetables), 21% (flower vegetables), 81% (eggplants), 40% (peppers), and 38% (edible fungi) over the past 30 days. Significant profit growth is observed in all categories, indicating the rationality of decision-making.

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Section: Determination Of Business Strategymentioning

confidence: 99%

Research and Analysis of Vegetable Pricing Strategy Model Based on Single Objective Optimization Algorithm

2023

infse

View full text Add to dashboard Cite

show abstract

Energy Consumption Analysis and Multi-objective Operation optimization of Intelligent Building System Based on TRNSYS-MATLAB

Cited by 1 publication

References 10 publications

Research and Analysis of Vegetable Pricing Strategy Model Based on Single Objective Optimization Algorithm

Research and Analysis of Vegetable Pricing Strategy Model Based on Single Objective Optimization Algorithm

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