Intelligent Energy Consumption For Smart Homes Using Fused Machine-Learning Technique

Energy is essential to practically all exercises and is imperative for the development of personal satisfaction.So,valuable energy has been in great demand for many years,especially for using smart homes and structures,as individuals quickly improve their way of life depending on current innovations.However,there is a shortage of energy,as the energy required is higher than that produced.Many new plans are being designed to meet the consumer’s energy requirements.In many regions,energy utilization in the housing area is 30%–40%.The growth of smart homes has raised the requirement for intelligence in applications such as asset management,energy-efficient automation,security,and healthcare monitoring to learn about residents’actions and forecast their future demands.To overcome the challenges of energy consumption optimization,in this study,we apply an energy management technique.Data fusion has recently attracted much energy efficiency in buildings,where numerous types of information are processed.The proposed research developed a data fusion model to predict energy consumption for accuracy and miss rate.The results of the proposed approach are compared with those of the previously published techniques and found that the prediction accuracy of the proposed method is 92%,which is higher than the previously published approaches.

A Data Analytics Study on Building Characteristics Impacting Energy Consumption in Single-Family Attached Homes

San Antonio, Texas is the seventh largest city in the United States with a population of 1.4 million people, and ranked among the fastest growing cities. To assess the implications of past and present building practices within the residential sector on future energy consumption, the energy utilization of single-family attached homes (SFAH) in Bexar County, Texas is studied. The available dataset includes 3932 SFAH records representing about 33% of the total number of SFAHs within the county. The study is based on pairing and analyzing data at the individual building level from a variety of sources including the buildings’ physical characteristics, access to fuels, and monthly energy consumption. The results indicate that the area of conditioned space, presence of swimming pools, number of stories, presence of fireplaces, fuel-type, and number of shared walls are a significant factor on the energy consumption of single-family attached homes. In terms of energy consumption, all-electric two-story homes sharing two walls are the most energy efficient among SFAHs. This study can aid comprehensive master planning efforts for developing sustainable communities by highlighting key features of SFAHs and making the case for higher density housing as a viable and more energy efficient alternative to single-family detached homes (SFDH).

A Review on Sustainable Product Design, Marketing Strategies and Conscious Consumption of Bamboo Lifestyle Products

Conscious consumption is a trend that is here to stay since consumers are becoming more aware of their purchasing decision and its impact on their health & environment. To sustain in the market on the move towards sustainability and meet the demands, companies need to re-examine their footprints and incorporate green practices in their products and organization. Using eco-friendly material & processes is one of the remedies to come up with this, and bamboo is one of the most versatile, green and renewable natural resources on planet earth. Traditionally bamboo has been exploited to a large extent but cutting-edge options available for bamboo are still limited and have a scope of indulging fully in the lifestyle of people in India. The global market size of bamboo was valued at UED 53.28 billion in 2020, and it is expected to grow at compound annual growth rate of 5.7% from 2022 to 2028. There is increasing demand for sustainable construction, and furniture and handicraft products also have considerable weightage. Manny brands and craft clusters of bamboo are realizing and promoting this green quotient of bamboo to the market to attract the eco-conscious audience and trying to cope up with the advancement of sustainability, like certifications of being a green organisation. Despite the exceptional qualities of bamboo, it is considered as a marginalized material due to low production rate, high competition with the non-eco-friendly or cheaper alternatives, aesthetics and marketing gaps. There is a gap between willingness to purchase and an actual purchase when it comes to the sustainable products and marketing plays a major role in conversions. The main purpose of the research is to study and understand the product, craft, design, production processes and marketing practices of bamboo lifestyle products and how conscious consumption patterns influence the bamboo products and the industry in relevance to the sustainability. Exploratory research method was applied with the literature survey and reviewing of the research papers from the peer reviewed journals. They were classified and reviewed based on the areas relevant to the bamboo products. The research outcome revealed the research gaps and the results were discussed and presented with the perspectives of product design, conscious consumption and marketing strategies in relevant to the sustainability of bamboo lifestyle products.

Home Textile Trends 2011-2012

During the China International Trade Fair for Home textiles and Accessories(Intertextile Shanghai Home textile),held from Aug.24th to 26 th,2010,in the city of Shanghai,the Intertextile Direction Trend Committee released the latest home textile trends for Autumn and Winter 2011 and 2012.

医养结合与老年消费——理论与机制

在寻求扩大内需的大背景下,讨论我国近年来实施的医养结合政策试点如何影响老年家庭的消费行为,这为如何利用公共卫生政策间接激发老年消费潜力以及解决潜在的“老年储蓄之谜”问题提供了新的视角。在理论分析基础上,利用具有全国代表性的中国老年社会追踪调查数据进行实证检验。研究发现:医养结合政策对老年家庭人均消费具有显著的正向推动效应,这主要体现在消费规模的扩大和消费结构的优化上。机制分析表明,一方面,医养结合改善了老年人的健康状况,有助于减少因应对未来医疗与健康风险而增加的预防性储蓄;另一方面,医养结合显著降低了老年人的抑郁倾向,提高了社会适应能力,增加了更多积极社会互动的机会,从而促进了消费观念和行为的转变,推动了消费升级。此外,研究还发现社区医疗和养老服务使用均能显著刺激老年家庭消费,特别是对医疗服务影响更大。异质性分析显示,城市家庭、经济发达程度高、公共基础设施水平好的地区在医养结合政策下更易实现老年家庭消费提升。研究结论为优化当前医养结合的运营模式和挖掘老年经济潜力提供了重要的现实启示。在未来,医养结合政策应注重提升服务质量,重视老年人的心理和社会需求,优化医养服务的结合,并考虑区域和人群的差异化。

我国城乡居民在外用餐口粮消费量的估计--基于修正数据后的测定

随着新型城镇化的推进和居民收入水平的提高,在外用餐逐渐成为城乡居民的日常饮食方式之一,由此带动在外口粮消费量快速增长,并成为我国粮食供求平衡体系中不可忽视的重要组成部分。基于1995~2019年不同统计口径下的全国统计数据,根据现有统计口径合理修正后,利用李国祥建立的居民在外口粮消费量估计模型,重新测算我国居民在外口粮消费量与全部口粮消费量。研究表明,2019年全国城乡居民在外口粮消费量为4810.31万吨,占全国居民口粮消费量的比重超过20%。尽管在外口粮消费量的增长不会显著影响口粮需求总量,却将深远改变我国粮食的流通和市场消费格局,并为精准制定粮食安全政策提供数据支撑和参考依据。

基于NB-IOT的智能家居系统的构建

为了增强智能家居系统的通信距离、降低节点传输耗能和实现远程实时控制,基于云平台技术,提出了一款NB-IoT无线通信技术的智能家居系统。通过嵌入式技术、传感器技术、无线通信技术和云计算技术的结合,选择STM32作为主控制器,使用低功耗的NB-IoT无线通信技术,进行硬件设计和软件设计,实现对室内各家居设备进行有效远程实时控制。用户可借助计算机、手机、平板电脑等,查询家用电器的运行状态。该系统耗能比较低,具备可扩展性及人机交互的特点,而且成本低,极易实现,时刻处于稳定的运行状态,很少发生各类故障,极为实用。通过实验测试,对系统的可靠及稳定与否进行验证,看其是否符合实际设计要求。经过一段时间验证,在科学的实验环境下,测试结果与预期效果一致,达到了智能化的目的。测试结果表明,该系统实现了智能家居的智能化控制,提升了系统的可控性。

Improved ethane conversion to ethylene and aromatics over a Zn/ZSM-5 and CaMnO^(3-δ) composite catalyst

Ethane conversion to ethylene and aromatics over Zn/zeolite catalysts is a promising technology for efficient exploitation of light alkanes. However, the reaction faces two major hurdles including the limited ethane conversion due to thermodynamics and the drastic catalyst deactivation by kinetical coke accumulation. Here we present a route to improve ethane conversion using a composite catalyst, involving Zn/HZSM-5 for ethane dehydroaromatization and CaMnO3-δperovskite for in situ selective hydrogen oxidation. The in situ H2 consumption shifts ethane dehydrogenation equilibrium to the desired side and can obviously increase the yield of target product. Furthermore, it is found that the in situ generated H2 O through H2 combustion can significantly suppress the coke formation and consequently enhance the stability of the composite catalyst. After 400 min reaction, a product yield of 23% was retained over the composite catalyst, almost a threefold increase with respect to the Zn/HZSM-5 reference(8%). It is anticipated that this novel composite catalyst combined with an efficient reactor technology may improve the viability of ethane aromatization in utilization.

Preliminary Study on Water Demand Law of 1-0 Rooted Cuttings of Populus szechuanica

In order to provide theoretical basis and technical support for the afforestation and artificial water supply of P.szechuanica in arid areas,the characteristics of water consumption of P.szechuanica were explored,and the law of water demand of P.szechuanica was grasped.In this paper,potted seedlings of 1-0 rooted cuttings of P.szechuanica were taken as research objects,and change situation of water consumption under different water control gradients was measured regularly by using weighing method,further analyzing dynamic change of water consumption of P.szechuanica and revealing water demand law of 1-0 rooted cuttings of P.szechuanica.The results showed that total change of water consumption of 1-0 rooted cuttings of P.szechuanica had"slow-fast-slow-fast"double-peak trend in the growth period of the current year,and corresponded with univariate linear relation(R^(2)=0.7137),with significant difference.In whole growth period,water consumption in August was the highest,which was 2.7 times of that in June and July and 1.5 times of that after September.In different water control treatments,the dynamic changes of daily and monthly water consumption were significantly different.In seven water control treatments,monthly water consumption was between(6315.95±1690.70)and(10105.28±3065.30)g/month,and mean was(8211.07±2308.23)g/month.With intensification of water control treatment,water consumption increased,but there was no seedling death due to water shortage.P.szechuanica has great plasticity in water demand,and can survive in both arid and humid environments.Meanwhile,it is revealed that P.szechuanica is the most widely distributed tree species in the region.

Think Home: A Smart Home as Digital Ecosystem

This work brings all new and advanced technology which is proposed for refinement and improvement in the existing electrification system at domestic as well as commercial levels including hotels, commercial complexes, apartments, rented floors and rooms. This advanced module will not only convey means of luxury but will also accomplish real-time energy monitoring and cost es-timation. This developed module will rule out entire re-wiring and will be fruitful at places where installation of a new meter was a problem. The new system after installation will offer means of comfort to the consumer, elderly as well as handicapped and disabled people in operating electric load with ease and comfort. Apart from this, it would also benefit the apartment/hotel owner’s and business personnel who have rented their property or portion of property and face problems in calculating energy bill.

返乡创业能促进农村家庭消费增长吗?

在着力改善双向循环经济结构和推动乡村全面振兴的背景下,大规模的返乡创业潮为深挖农村消费大市场和激活农村居民消费潜力提供了广阔空间。文章借助返乡创业试点政策这一准自然实验,利用多时点双重差分模型,探究了劳动力返乡创业对农村居民家庭消费的影响与机制。研究表明:返乡创业试点政策能够显著提升农村家庭的消费水平,在利用平行趋势检验、安慰剂检验、PSM-DID等多种方法检验后,研究结论保持一致。在作用路径上,返乡创业不仅能促进农民收入增加,改善农村内部收入差距,还能增加农村公共物品供给,优化农村消费环境,进而提升农村家庭消费水平,促进农村消费内需动力进一步释放。异质性分析表明:返乡创业活动对中西部以及经济欠发达地区农村家庭消费的提升作用更明显。同时,返乡创业不仅能增加家庭消费多样性,促使农村家庭消费由生存型和发展型消费向享受型消费倾斜,还可以改善当地农村家庭消费不平等的状况,使全体社会成员平等共享经济发展成果。由此,在有序扩大返乡创业试点实施范围的同时,也应更加注重提升劳动力创业能力和优化农村创业环境,为促进农村消费增长和改善农村居民福利提供有利条件。

数字化背景下家电线上消费个性化体验设计研究

在数字化背景下,发掘家电线上消费个性化体验设计机会点,以期改善家电线上消费个性化体验断层等问题。研究结合EPI体验要素模型,探索家电线上消费个性化体验的阶段特性,通过问卷调研、定性访谈洞察用户个性化体验需求,对家电线上消费全流程的个性化体验进行要素剖析,从信息、互动和服务三个层面提出相应的个性化体验设计策略,为深化家电线上消费个性化体验提供创新思路和参考。

居家体育用品应急消费行为的心理机制研究——基于新冠肺炎疫情背景

探究在大型突发公共卫生事件(以新冠肺炎疫情为例)状况下,消费者的居家体育用品应急消费行为心理机制的变化。为了实现该研究目的,以双过程模型在决策中的作用和调节定向理论为基础,对影响居家体育用品应急消费的各因素以及各因素之间的关系进行了深度探讨。特别考虑了个人对外界环境的主观认知、个人主观状态、个人特征和动机因素之间的关系。采用了量表测量法并使用SPSS 25.0以及AMOS 25.0统计软件通过结构方程模型对有效数据进行最终分析以验证研究假设。结果显示消费者对新冠肺炎疫情时长认知使其更为强烈地感知到居家体育用品重要性;促进定向和感知到的时间压力在居家体育用品重要性的影响下,与体育专业知识程度共同多重中介新冠肺炎疫情时长认知对启发式商品评估模式的路径;感知到的压力与体育专业知识程度也同样多重中介了新冠肺炎疫情时长认知对启发式商品评估模式的路径。该研究具有理论和实践的双重意义,弥补了在公共卫生事件时期对体育用品消费现象和消费心理研究的不足之处,也为从事体育商业活动的相关人士在新冠肺炎疫情期间,或者下一次突发性公共卫生事件出现时,做出科学的商业决策提供了参考的理论依据。

家电行业以旧换新刺激消费的政策路径优化

如今家电行业已经进入到产业发展的成熟期,社会保有量趋于饱和,如何更有效的促进家电行业进行更新换代,更好满足不同消费群体对家电功能的差异性需求,获得新的消费增长点,对于家电行业来说至关重要。家电行业以旧换新的政策性刺激消费符合产业发展的需求,更是推动产业可持续发展的动力。为此家电企业需要把握政策机遇,未雨绸缪,准确把握行业所面临的产业环境,找准市场需求,完善交易机制。对于政府而言需要构建好多元主体的治理机制,以市场需求为导向,完善政策的优化创新。

家庭能耗管理系统研究综述

随着信息科技的进步和智能家居的发展,为了能够监测家电设备的能源使用情况,优化家庭能源消耗结构,从而实现家庭节能,家庭能耗管理系统应运而生。详细介绍了家庭能耗管理系统的架构及其管理策略的研究进展。家庭能耗管理系统包含信息家电、家庭网络、家庭网关和远程服务4大组成部分。已有的研究和试验结果表明,实施能耗管理措施,可以有效地达到节能的目的。

家庭智能用电系统建模及优化策略分析

作为智能电网的重要组成部分,家庭智能用电系统对提高能源利用效率、促进可再生分布式发电的利用具有重要意义。针对家庭智能用电系统进行了相关的研究,分析了家庭智能用电系统各个组成部分的模型,建立了基于经济性目标、舒适性目标和计及分布式发电装置的优化模型,并利用粒子群算法对模型进行了求解。仿真结果验证了该优化策略的有效性。

智能家居无线控制网络的设计与实现

针对智能家居系统存在布线难、功耗大、后期装修费用高等问题,结合IEEE 802.15.4e标准设计了一种无线自组织、终端自适应网络。同时,针对不同类型终端设备,设计了定时-外部中断休眠和定时-接收端发起这两种低功耗模式。以无线射频芯片CC2430为核心,搭建了一个基于IEEE 802.15.4e的自组织网络。通过上层界面、智能终端等对传感器节点进行环境、体征的实时监控及下行控制,使智能家居网络可以稳定、低功耗地运行,从而满足现代智能家居的实际应用需要。该方法对现代智能家居网络设计具有一定的指导意义。

智能电网中的家庭用电系统建模与优化分析

为了实现电网削峰填谷、节约居民用电成本的目的,需要对家庭用电负荷进行更加合理的引导。综合考虑家庭用电负荷的连续性、可中断性以及负荷之间的关联性、顺序性、强依附性等特性,以分时电价为背景,建立了计及储能系统的家庭智能用电系统模型,包括负荷运行模型、蓄电池充放电模型和经济性优化模型。提出利用0—1变量对模型决策变量进行编码,将优化问题转化为混合整数线性规划问题,并采用Gurobi数学规划软件包求解,大大降低了问题的求解难度。在Matlab环境下,对家庭用电负荷数据进行仿真计算,仿真结果表明,模型和优化策略能够实现转移家庭用电负荷以及降低用电费用的目的。

家庭智能用电管理系统用电优化算法研究

为降低居民用户用电费用和提高用电效率,考虑分时电价价格激励的作用,对家庭智能用电进行了研究。构建了由智能家用电器、传统家用电器、电动汽车及其充放电设备、智能开关/插座、智能交互终端、智能手机、分布式能源和智能电表等组成的家庭智能用电管理系统。以一般家庭常用家用电器为优化对象,以用户用电费用最低为优化目标,采用遗传算法,根据用户设定的各家用电器的工作时间范围,提出了基于分时电价的家庭智能用电管理系统智能用电优化算法。以兼顾用户用电费用和负荷消耗功率均匀分布为优化目标,设定功率阈值,引入惩罚机制,提出了基于分时电价的改进智能用电优化算法。仿真结果表明,所提出的智能用电优化算法可为用户最大限度节省用电费用;所提出的改进智能用电优化算法可为用户适当节省用电费用,并可避免引入新的用电高峰。因此,该智能用电优化算法能实现既定优化目标,是有效、可行的。用户可根据实际需要确定优化目标,选用相应算法。

家居智能用电水平指标体系及评价方法研究

结合智能电网对智能家居的要求及我国智能家居产业现状,从全面性、典型性、客观性的原则,构建了评估家居智能用电水平的三级指标体系。该体系基于智能电网的特点,从自动化、信息化、互动化的角度,将评估目标分为家电智能化、用户与电力公司互动性、耗能信息可视化三个方面,并详细描述了各指标含义。然后提出了基于层次分析法(AHP)理论及图论知识的权重模型和基于模糊数学理论的模糊综合评价模型,并对两个实际智能小区的智能家居方面进行评估,结果表明该指标体系及评估方法较好的表现了两者的智能家居水平,符合其实际情况。