Oscillation phenomenon and its mechanism of an energy-saving and emission-reduction system

Yin, Jiuli; Bian, Lishuang; Fan, Qin; Fan, Xinghua; Ai, H.; Li, Tian

doi:10.1108/ijesm-06-2017-0007

Cited by 3 publications

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They used synchronization theory as the regulation theory for regional coordinated development to research the system. Based on previous findings (Chen & Liu, ; Fang et al, 2017a, ; Feng, Sun, & Zhang, ; Huang et al, ; Liao, ; Niu et al, ; Ozturk & Acaravic, ; Pao & Tsai, ; Yang, Zhang, & Zhang, ; Yin et al, ), Fang et al () proposed a mathematical model of the energy‐saving and emission‐reduction system as follows, which includes energy‐saving and emission‐reduction, carbon emissions, and economic growth, and studied the chaos of the system.

\begin{matrix} right \frac{d x}{d t} & center = & left a_{1} x true(\frac{y}{M} - 1) - a_{2} y + a_{3} z - a_{4} x, \\ right \frac{d y}{d t} & center = & left - b_{1} x + b_{2} y true(1 - \frac{y}{C}) + b_{3} z true(1 - \frac{z}{E} true) - b_{4} y, \\ right \frac{d z}{d t} & center = & left c_{1} x true(\frac{x}{N} - 1 true) - c_{2} y - c_{3} z - c_{4} z . \end{matrix}

where

x (t)

is the time‐dependent variable of energy‐saving and emission‐reduction,

y (t)

the time‐dependent variable of carbon emissions, and

z (t)

the time‐dependent variable of economic growth;

a_{i}, b_{i}, c_{i} (i = 1, 2, 3, 4), M, C, E, N

are positive constants;

…”

Section: Introductionmentioning

confidence: 99%

Dynamical behavior of fractional‐order energy‐saving and emission‐reduction system and its discretization

Chen

Liu

2018

Natural Resource Modeling

View full text Add to dashboard Cite

This paper attempts to explore dynamical behavior and mathematical properties of the three‐dimensional fractional‐order energy‐saving and emission‐reduction system. Theoretically, the conditions of local stability of fractional‐order system's equilibrium points are obtained. Numerical investigations on the dynamics of this system are carried out, and the existence of the asymptotically stable attractor is found. Combined with the fractional‐order subsystem, we discuss the relationship between energy‐saving and emission‐reduction and economic growth, and carbon emissions and economic growth. Furthermore, we discretize the fractional‐order system and give necessary and sufficient conditions of its stabilization. It is shown that the stability of the discretization system is impacted by the system's fractional parameter. Numerical simulations show the richer dynamical behavior of the fractional‐order system and verify the theoretical results. Recommendations for Resource Managers The impact of carbon emissions on economic growth is one of the main reasons for energy‐saving and emission‐reduction. Control measures on people's low‐carbon life through government intervention are required to protect the natural environment. New energy‐saving and emission‐reduction technologies should be implemented to achieve sustainable social and economic development.

show abstract

\begin{matrix} right \frac{d x}{d t} & center = & left a_{1} x true(\frac{y}{M} - 1) - a_{2} y + a_{3} z - a_{4} x, \\ right \frac{d y}{d t} & center = & left - b_{1} x + b_{2} y true(1 - \frac{y}{C}) + b_{3} z true(1 - \frac{z}{E} true) - b_{4} y, \\ right \frac{d z}{d t} & center = & left c_{1} x true(\frac{x}{N} - 1 true) - c_{2} y - c_{3} z - c_{4} z . \end{matrix}

where

x (t)

is the time‐dependent variable of energy‐saving and emission‐reduction,

y (t)

the time‐dependent variable of carbon emissions, and

z (t)

the time‐dependent variable of economic growth;

a_{i}, b_{i}, c_{i} (i = 1, 2, 3, 4), M, C, E, N

are positive constants;

…”

Section: Introductionmentioning

confidence: 99%

Dynamical behavior of fractional‐order energy‐saving and emission‐reduction system and its discretization

Chen

Liu

2018

Natural Resource Modeling

View full text Add to dashboard Cite

show abstract

Impact of Digital Finance on Energy Efficiency in the Context of Green Sustainable Development

Yang

Masron

2022

Sustainability

View full text Add to dashboard Cite

Limited by ecological conditions, in order to improve the innovation efficiency concerning energy, a change from “extensive” to “green” is required. The development of sustainable technology is the most important productive force. Economic development is centered on finance. Only by mutual penetration and interaction can China’s energy innovation be effectively promoted. “Green GDP (Gross Domestic Product)” is the main direction of China’s current economic development. A sustainable green digital economy is the primary condition for promoting energy efficiency, and it is the key to improving energy efficiency in China to achieve a green transition. Green finance for sustainable development refers to economic finance centered on energy conservation, environmental protection and technological innovation. Attention is constantly paid to the financial industry in China, and we are trying to combine the concept of environmental protection with financial development to promote the continuous development of China’s environmental protection economy. A company’s economic and environmental benefits will be improved from the point of view of improving resource conservation and reducing the environmental impact of equipment and processes. To achieve this goal, the “efficiency effect” of the financial system needs to be fully exploited to maximize energy efficiency. An empirical study about the relationship of financial performance and energy efficiency in the green sector is carried out while considering the environmental constraints. The results show that the expansion of the financial scale and the adjustment of the financial structure have increased the energy utilization efficiency by more than 15% from the past to the present and reduced the pollution of the ecological environment by more than 10% nationwide, realizing the effective allocation of resources. Digital finance is a new generation of financial services that combines the Internet and information technology with traditional financial service formats. Including Internet payment, mobile payment, online banking, financial service outsourcing and online loans, online insurance, online funds and other financial services. Therefore, the sustainable development of all aspects of finance has a huge catalytic effect on the doubling of energy utilization efficiency.

show abstract

Smooth Group L1/2 Regularization for Pruning Convolutional Neural Networks

et al. 2022

View full text Add to dashboard Cite

In this paper, a novel smooth group L1/2 (SGL1/2) regularization method is proposed for pruning hidden nodes of the fully connected layer in convolution neural networks. Usually, the selection of nodes and weights is based on experience, and the convolution filter is symmetric in the convolution neural network. The main contribution of SGL1/2 is to try to approximate the weights to 0 at the group level. Therefore, we will be able to prune the hidden node if the corresponding weights are all close to 0. Furthermore, the feasibility analysis of this new method is carried out under some reasonable assumptions due to the smooth function. The numerical results demonstrate the superiority of the SGL1/2 method with respect to sparsity, without damaging the classification performance.

show abstract

Oscillation phenomenon and its mechanism of an energy-saving and emission-reduction system

Cited by 3 publications

References 24 publications

Dynamical behavior of fractional‐order energy‐saving and emission‐reduction system and its discretization

Dynamical behavior of fractional‐order energy‐saving and emission‐reduction system and its discretization

Impact of Digital Finance on Energy Efficiency in the Context of Green Sustainable Development

Smooth Group L1/2 Regularization for Pruning Convolutional Neural Networks

Contact Info

Product

Resources

About