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排序方式: 共有394条查询结果,搜索用时 15 毫秒
1.
近年来,随着我县农村户用沼气建设力度的不断加大,为缓解我县能源资源短缺的现状,通过对农村户用沼气池施工技术及工艺的改进,进行技术集成示范,总结出秦安农村户用改进型沼气池的建造技术,为该地区沼气事业的发展提供科学依据.  相似文献   
2.
E-life--家居生活视频网主要是在和用户充分交流的基础上,实现资源共享,共同建设属于普通大众的现代家居生活视频网站。其立足于现代家居生活,通过对现代家居生活类视频的集合,从而方便用户的检索、浏览和下载。  相似文献   
3.
基于PC的智能家电遥控系统是以单片机CC2530为核心驱动、以YS-IR01F为红外学习核心模块的控制系统,该系统包括三部分,分别为用户控制界面、网关模块以及底层红外驱动模块,该系统可以通过对家用红外遥控数据的学习进而实现利用PC用户界面控制包括电视、投影仪等普通家电,初步实现家电智能化。满足一般家庭对智能家居的要求,方便人们的生活。  相似文献   
4.
为了实现白色家电互联硬件成本最小化,本文研究和开发了简单、易于实现的白色家电互联协议,MCU作为控制中心,CC1101模块作为无线收发模块,2051作为终端节点处理器,建立了一个小型控制网络,从而实现白色家电的互联。实验结果表明:该系统能够满足互联的功能,并且出错率较低。  相似文献   
5.
Traditional data-driven energy consumption forecasting models, including machine learning and deep learning methods, showed outstanding performance in terms of forecasting accuracy and efficiency. The superior performances are based on enough training data samples. Moreover, the derived forecasting model is only applicable to the training dataset and usually is applied to specific household. In real-world smart city development, a centralized forecasting model is required to model and forecasting energy consumption patterns for multiple households, whereas the traditional data-driven forecasting approaches may become invalid. A consistent model is demanded in this scenario modeling multiple households’ energy consumption patterns. Additionally, privacy issues are also highly concerned in such scenarios. Accurate energy consumption forecasting with privacy preservations becomes a key point for the state-of-art research. In this study, we adopt an innovative privacy-preserving structure that combines deep learning and federated learning. Under the premise of guaranteeing forecasting accuracy and privacy preservation, this structure can achieve the forecasting of various household energy consumption with a consistent model that simultaneously forecast multiple household energy consumption data by transmission control protocol.  相似文献   
6.
Researchers have identified network effects as one of the major drivers for the adoption and diffusion of household technologies. However, the mechanisms and social contexts through which network effects induce technology adoption are unclear. In this paper, we investigate the adoption of household computers using the dataset from the 1989-2003 Computer and Internet Supplement to the Current Population Surveys (CPS). We argue that social influence and learning play a dominant role in inducing the adoption of home computers, and workplaces and schools are important channels through which network effects take place. We find that recent adopters have a stronger impact than distant adopters on future computer adoptions. When the adoption rate is low, channels play a more important role, but their effects diminish as the adoption rate grows. We also find that diffusion channels are more effective for first-time adoption than for repeat purchases. Overall, our study provides important theoretical, policy, and managerial implications.  相似文献   
7.
The purpose of this study is to explore the dynamics underlying disparities in Internet use among school age children in the US. The analysis found that a broad range of demographic, geographic and economic factors significantly influence Internet use among children. Significantly, the availability of household computing resources and adult Internet users in the household were most important in explaining disparities in use among children. To expand universal Internet access, future public policy should focus on providing support for in-home access; continued support for public access at out-of-home locations such as schools, and providing technical support, training and expertise to school age children.
Paul F. ClearyEmail:
  相似文献   
8.
黄逊青 《制冷》2005,24(1):55-60
本文分析了户用冷水机组制冷系统的压力安全特点,指出应重视小型系统的本质压力安全特性,并充分加以利用.根据GB 9237的要求,讨论了压力安全设计原理与技术措施在户用冷水机组的应用.  相似文献   
9.
黄逊青 《制冷》2005,24(Z1):40-44
本文讨论了家用空调系统冷热源的特点,为满足家用和类似用途电器产品的安全要求,以及适应以直接膨胀运行机组为主要类型的设备特点,同时,满足系统应用方面的一些特殊需要,提出了在设计、选型以及安装和运行等方面一些特殊要求.并讨论了房间空调器和单元式空调机,以及燃气空调机的应用问题.  相似文献   
10.
This article describes the electricity consumption in Brazilian residences between 1985 and 2013 through linear regressions. The explanatory variables considered were the number of households, effective consumption of families as a proxy for family income, and electricity tariff for households. To deal with the power generation crisis of 2001 we have introduced a dummy variable in the form of a step function. With such explanatory variables, we were able to account for the reduction of household electricity consumption caused by the policies conducted in 2001 and their permanent consequences. The regression presented coefficient of determination of 0.9892, and the several statistic tests conducted assured the existence of long-term relation between the electricity consumption in residences and the explanatory variables. The obtained elasticities for the household consumption of electricity with respect to number of residences, family income and residential tariff of electricity were 1.534±0.095, 0.189±0.049, and −0.230±0.060, respectively. These results allowed understanding the evolution over time of the household consumption of electricity in Brazil. They suggest that the electric sector in Brazil should pursue an active policy to manage demand of residential electricity using tariffs as a means to control it.  相似文献   
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