Machine learning based system for managing energy efficiency of public sector as an approach towards smart cities

Energy efficiency of public sector is an important issue in the context of smart cities due to the fact that buildings are the largest energy consumers, especially public buildings such as educational, health, government and other public institutions that have a large usage frequency. However, recent developments of machine learning within Big Data environment have not been exploited enough in this domain. This paper aims to answer the question of how to incorporate Big Data platform and machine learning into an intelligent system for managing energy efficiency of public sector as a substantial part of the smart city concept. Deep neural networks, Rpart regression tree and Random forest with variable reduction procedures were used to create prediction models of specific energy consumption of Croatian public sector buildings. The most accurate model was produced by Random forest method, and a comparison of important predictors extracted by all three methods has been conducted. The models could be implemented in the suggested intelligent system named MERIDA which integrates Big Data collection and predictive models of energy consumption for each energy source in public buildings, and enables their synergy into a managing platform for improving energy efficiency of the public sector within Big Data environment. The paper also discusses technological requirements for developing such a platform that could be used by public administration to plan reconstruction measures of public buildings, to reduce energy consumption and cost, as well as to connect such smart public buildings as part of smart cities. Such digital transformation of energy management can increase energy efficiency of public administration, its higher quality of service and healthier environment.     

论转型期城镇贫困问题对我国现代化的影响

随着体制转换和结构调整的进行,城镇贫困问题已凸现为当前不容忽视的社会问题之一。以下岗失业人员为主体的城镇贫困问题虽然在总体上有利于我国现代化发展,但它也给现代化发展带来严重的负面影响:它可能会抑制城镇经济与社会发展,动摇我国社会主义的价值基础,危及社会主义本质的最终实现,并影响国家的稳定大局。     

中小城市交通规划与可持续发展

从传统城市交通规划的主要特点及其在城市中不断发展的状况出发,结合大城市的交通规划经验和中小城市的交通特点,提出中小城市交通规划策略模式,力图从中寻找解决中小城市交通可持续发展的方法。     

从语用角度探索中小城市社会矛盾的化解问题

中小城市社会矛盾的化解问题关系到我国城市化进程的顺利推进以及和谐社会的构建。运用语用学理论和研究成果,能够为社会矛盾的化解提供新的视角和有效途径。从语用角度来看,保障话语权为矛盾化解提供了基本前提,合理运用语用原则、语用策略为矛盾化解提供了有效方法,而要想使这种方法发挥更大的作用,则需要建立对话协商的长效机制。     

国内大中城市大众参与性羽毛球市场兴盛的社会学分析

2002年起参与性消费型羽毛球活动在我国大中城市逐渐兴起,并表现出蓬勃发展的态势。从社会学角度分析,主要原因是：羽毛球运动特点满足了参与者的情感需求;羽毛球运动消费迎合了年轻人的消费取向;羽毛球项目特点符合了不同人群的运动需求;管理层的适度监管促进了羽毛球市场的蓬勃发展。     

生态足迹模型修正研究 ——以辽中地区矿业城市为例

以辽中地区矿业城市(鞍山、抚顺、本溪)为例,基于能值理论并加入社会经济系统发展指数对生态足迹模型进行修正研究.结果表明,运用生态足迹修正模型计算,辽中地区矿业城市人均生态承载力为1.72hm²,人均生态足迹为6.95hm²,人均生态赤字5.23hm²,处于严重超载状态;生态足迹构成中能源足迹比例最大,达到55%.经过验证,生态足迹修正模型计算结果更加全面、合理.     

湖南省城镇"弱势群体"健康及健身状况的调查研究

对湖南省城镇弱势群体参加健身活动和身体健康现状进行抽样调查。结果显示：城镇弱势群体的健康状况极差，健身意识不强、健身活动太少是其主要原因。提出了强化对弱势群体的救助关注，不能仅限于生活上的关心，经济上的资助还应关心他们的体质与健康，支持他们参与健身活动。     

基于云计算和众包模式的小城镇智慧规划管理技术探索

针对小城镇规划管理中的技术难点和发展瓶颈,借鉴国际前沿应用实践,以相对低成本的投入方式和维护手段,构建多级多节点云计算支撑平台,引入众包公众参与模式,探寻基于云计算和众包模式的小城镇智慧规划支持和管理道路。     

建设可持续发展生态城市的研究

建设可持续发展的生态城市是全人类在21世纪努力追求的一个重要目标。本文在生态城市和可持续发展概念的基础上,提出了可持续发展生态城市的概念,分析了可持续发展生态城市的基本特征,构建了可持续发展生态城市的系统结构,论述了可持续发展生态城市规划建设的内容,对我国各城市建设可持续发展生态城市具有一定的指导意义。     

基于多元语境的辽宁区域城市体育赛事发展战略思考

阐述了辽宁区域城市体育赛事发展面临的多元语境,并在此基础上分析了未来辽宁区域城市体育赛事的发展战略趋向,旨在为未来辽宁区域城市的体育赛事发展提供积极的参考。