Study on non-linear planning model of green building energy consumption under multi-objective optimization

Fan, Miao; Su, Danna; Bhatt, Mohammed Wasim; Mangal, Adarsh

doi:10.1007/s13198-021-01459-3

Cited by 5 publications

(3 citation statements)

References 25 publications

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“…Fan et al [20] used an adaptive learning technique that takes into account and remembers the decisions made by human administrators in their further development of the architecture-based method to self-adaptation. Although a Model Driven Technique was proposed, this method did not consider the practical uses of the system's functional and self-healing components.…”

Section: Literature Surveymentioning

confidence: 99%

Artificial Intelligence Enabled Effective Fault Prediction Techniques in Cloud Computing Environment for Improving Resource Optimization

Abro

Shafiq

et al. 2022

Scientific Programming

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The bulk of the fault tolerance techniques that are in use today laid their primary emphasis, in the event that a virtual machine fails, on the production of clones to replace it, rather than on the early prediction of the failure itself in advance. Several of the currently used techniques give migration priority over recovery in the event that a virtual machine (VM) fails. This is due to resource constraints and concerns with server availability. Examples of algorithms with a single objective include fault tolerance, migration prediction, and simply expecting failure. Another example is fault tolerance. In this research, we are aiming to determine the most effective strategy to transition from a system that is not operating well to one that does. It is essential to be able to predict the failure of a virtual machine in a timely manner due of issues such as squandered resources, energy, and cost. Since the beginning of cloud computing, there has been an issue with the dependability of virtual computers, often known as VMs. As an integral component of a fault tolerance system, preemptive measures are an absolute need in order to guarantee the continuation of service. As a consequence of this, it is vital to work toward enhancing and emphasizing the proactive failure prediction of virtual machines. The key motivations for this are decreased periods of downtime and enhanced scalability. A technique was utilized to transfer the resources that were predicted to fail from one virtual machine (VM) to another VM in a safe manner. Using the compression strategy reduced the amount of time needed to complete the migration, and resource utilization increased. This article provides artificial intelligence that enables effective fault prediction techniques in cloud computing to improve resource optimization.

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Section: Literature Surveymentioning

confidence: 99%

Artificial Intelligence Enabled Effective Fault Prediction Techniques in Cloud Computing Environment for Improving Resource Optimization

Abro

Shafiq

et al. 2022

Scientific Programming

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“…In order to achieve the goal of carbon neutrality, the construction industry is bound to face a huge transformation challenge. Green buildings, as a sustainable building type, are an effective way to achieve carbon neutrality in buildings [18][19][20][21][22].Fan et al [23] established a multi-objective optimisation scheme for green building modelling. The multi-objective optimisation of the construction effect of the project was carried out by combining the resource allocation and weather condition factors such as temperature, humidity and precipitation of the project site.…”

Section: Introductionmentioning

confidence: 99%

Sequencing the carbon emission cycle of green buildings in China based on an ecological city perspective

Wang

2023

3C TIC

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As people's basic material living standards continue to rise, the demand for a better living environment and a better life is becoming increasingly strong. Since the 18th and 19th National Congresses of the Party proposed to carry out ecological civilization construction and build a beautiful China, carrying out ecological city construction has become one of the effective ways to solve the current urban development problems. In this paper, we summarise the latest research on green building assessment systems, life-cycle carbon emissions and life-cycle costs of buildings. We find that China's green building assessment system still has many shortcomings compared to the world's advanced green building assessment systems. Based on this, we have conducted a sequencing analysis of the life cycle carbon emissions of green buildings in China, so that buildings can meet the green building rating and at the same time achieve energy and carbon savings. The results of the study show that the building use phase has the highest carbon emissions in the building life cycle, accounting for 77% of the life cycle carbon emissions.

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“…It is also hard to monitor properly throughout the whole input range for broad input devices. With the fast development of processors in latest years, the miniaturization of ×86 platforms, and the popularity of GPU, it has become possible to run large computational algorithms on small mobile platforms [12]. At the same time, with the re-emergence of deep neural network frameworks and the rapid development of deep learning frameworks such as TensorFlow, Caffe, MXNet and Torch, the deployment of deep neural network algorithms is becoming more and more convenient.…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Immune Algorithm and Soft Computing in the Design of 2‐DOF PID Controller

Ding

Prabhakar

Khosla

et al. 2022

Discrete Dynamics in Nature and Society

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To solve the difficulty in selecting the crossover probability and mutation probability in genetic algorithms, a fuzzy immune algorithm based on adaptive estimation of crossover probability and mutation probability in a fuzzy reasoning system is proposed, and it is used in the parameter optimization design of a two-degree-of-freedom PID controller. According to the experiment and simulation results, classic genetic algorithm evolution tends to halt after 37 generations, with a fitness value of 7.135, whereas fuzzy genetic algorithm evolution tends to stop after 20 generations, with a fitness value of 7.486. The 2-DOF PID controller that was created can give the system strong target value following and interference suppression features at the same time.

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Study on non-linear planning model of green building energy consumption under multi-objective optimization

Cited by 5 publications

References 25 publications

Artificial Intelligence Enabled Effective Fault Prediction Techniques in Cloud Computing Environment for Improving Resource Optimization

Artificial Intelligence Enabled Effective Fault Prediction Techniques in Cloud Computing Environment for Improving Resource Optimization

Sequencing the carbon emission cycle of green buildings in China based on an ecological city perspective

Application of Fuzzy Immune Algorithm and Soft Computing in the Design of 2‐DOF PID Controller

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