DESIGN, CONSTRUCTION, MAINTENANCE最新文献_第5页

International Rating Systems And Their Applicability On Historic Buildings 国际评级体系及其对历史建筑的适用性

DESIGN, CONSTRUCTION, MAINTENANCE Pub Date : 2022-03-19 DOI: 10.37394/232022.2022.2.5

Ingy M. Naguib

引用次数: 1

Role of Universities on Urban and Rural Economic Impacts on Community Development: - Review 大学在城乡经济对社区发展的影响中的作用:综述

DESIGN, CONSTRUCTION, MAINTENANCE Pub Date : 2022-03-19 DOI: 10.37394/232022.2022.2.2

C. Matasane, J. Zaaiman

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引用次数: 0

Pet Food Dosing and Dispenser Design Based on Free Technologies 基于自由技术的宠物食品配料和分配器设计

DESIGN, CONSTRUCTION, MAINTENANCE Pub Date : 2022-03-19 DOI: 10.37394/232022.2022.2.4

José Luis Estévez, F. Rivas-Echeverría, Xavier Morales Félix, Herber Espín Benavides

引用次数: 0

Linear Mixed Model Approach to Protein Significance Analysis 蛋白质显著性分析的线性混合模型方法

DESIGN, CONSTRUCTION, MAINTENANCE Pub Date : 2022-03-19 DOI: 10.37394/232022.2022.2.1

J. Jun, T. Park

引用次数: 0

Study Regarding the Use of Wind Energy in the Area of Water Supply 风能在供水领域的应用研究

DESIGN, CONSTRUCTION, MAINTENANCE Pub Date : 2022-03-19 DOI: 10.37394/232022.2022.2.6

B. Lepădătescu, Ioan Ghimbaseanu

引用次数: 0

Factors Affecting Social Entrepreneurs to Lead an Initiative 影响社会企业家领导倡议的因素

DESIGN, CONSTRUCTION, MAINTENANCE Pub Date : 2022-03-19 DOI: 10.37394/232022.2022.2.9

A. Sadeh, Avshalom Aderet

引用次数: 0

Studies Regarding the Modeling of a Wind Turbine with Energy Storage 带储能的风力发电机组建模研究

DESIGN, CONSTRUCTION, MAINTENANCE Pub Date : 2022-03-19 DOI: 10.37394/232022.2022.2.11

Girdu Constantin Cristinel

引用次数: 0

The Possibility for Counteraction to Modern Ecological Risks 应对现代生态风险的可能性

DESIGN, CONSTRUCTION, MAINTENANCE Pub Date : 2022-03-19 DOI: 10.37394/232022.2022.2.10

W. Sobolev, Ivan Kazachkov

引用次数: 0

Event-Based Clustering with Energy Data 基于事件的能源数据聚类

DESIGN, CONSTRUCTION, MAINTENANCE Pub Date : 2022-01-20 DOI: 10.20944/preprints202201.0313.v1

Kieran R. C. Greer, Y. Bi

{"title":"Event-Based Clustering with Energy Data","authors":"Kieran R. C. Greer, Y. Bi","doi":"10.20944/preprints202201.0313.v1","DOIUrl":"https://doi.org/10.20944/preprints202201.0313.v1","url":null,"abstract":"This paper describes a stochastic clustering architecture that is used in the paper for making predictions over energy data. The design is discrete, localised optimisations based on similarity, followed by a global aggregating layer, which can be compared with the recent random neural network designs, for example. The topic relates to the IDEAS Smart Home Energy Project, where a client-side Artificial Intelligence component can predict energy consumption for appliances. The proposed data model is essentially a look-up table of the key energy bands that each appliance would use. Each band represents a level of consumption by the appliance. This table can replace disaggregation from more complicated methods, usually constructed from probability theory, for example. Results show that the table can accurately disaggregate a single source to a set of appliances, because each appliance has quite a unique energy footprint. As part of predicting energy consumption, the model could possibly reduce costs by 50% and more than that if the proposed schedules are also included. The hyper-grid has been changed to consider rows as single units, making it more tractable. A second case study considers wind power patterns, where the grid optimises over the dataset columns in a self-similar way to the rows, allowing for some level of feature analysis.","PeriodicalId":443735,"journal":{"name":"DESIGN, CONSTRUCTION, MAINTENANCE","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114735883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Resilience Management of Critical Cyber-Physical Systems: A Multiple Case Study Analysis 关键信息物理系统的弹性管理:多案例研究分析

DESIGN, CONSTRUCTION, MAINTENANCE Pub Date : 2021-11-23 DOI: 10.37394/232022.2021.1.12

J. Rajamäki

引用次数: 1