Traditional power load or electricity forecasting methods have used only limited meteorological information. Specifically, these methods either only select one of maximal, minimal and average temperature as the influencing indicator, or only capture the very basic meteorological information, instead of exploring the nonlinear relationship between temperature and loads in depth. To overcome the shortcomings of the traditional methods, this paper proposes a new medium- and long-term load forecasting method based on sensitivity analysis of multi meteorological indicators. This method constructs the encoder and decoder between weather features and loads. Moreover, this paper combines this method with XGBoost and SVR, which can improve the accuracy of medium- and long-term forecasting algorithm in the power grid field effectively. The simulation results of this synthesized model show that average daily prediction accuracy rate of the year is 95.37% and the average monthly prediction accuracy rate of the year is 98.02%.

As a new type of clean heating device, heat storage electric boilers use electricity instead of natural gas and coal as the heating energy source, effectively solving the pollution problem caused by winter heating. Based on the construction of a pilot heat storage electric boiler in Shangyi and the current technology of Power Internet of Things (Power IoT), this paper establishes an optimal dispatching model with minimal operating cost for heat storage electric boilers by analyzing their working principle and operating characteristics. The optimal dispatching strategy for heat storage electric boilers is also embedded in the intelligent energy regulation and control software module and the IoT control platform. Finally, the simulation results and field demonstration results validate the effectiveness of the proposed optimal dispatching model of thermal storage electric boilers.

为调查河南省内隐孢子虫发病情况,采集河南省14个养殖场的218份犊牛粪便样品(其中腹泻症状犊牛粪便样品153份,非腹泻犊牛粪便样品65份)进行隐孢子虫的PCR扩增及测序.结果表明在14个牧场中有12个(85.7％)检测到隐孢子虫感染,腹泻症状犊牛粪便样品检出率为29.4％(45/153),同时上述粪便样品中存在有微小隐孢子虫(n=22)、瑞氏隐孢子虫(n=6)、安氏隐孢子虫(n=5)和牛隐孢子虫(n=12)4种隐孢子虫;非腹泻症状犊牛粪便样品检出率23.1％(15/65),说明河南省内犊牛腹泻隐孢子虫普遍存在.

Under the background of energy transformation, China vigorously promotes the construction of a new power system with new energy as the main body. However, the random and volatile power generation characteristics of new energy increase the demand for flexible regulation resources of the system operation. It is difficult to take into account the economy and security of the system operation only by power side regulation resources, so it is necessary to fully tap the potential of flexible adjustment on the demand side and promote the gradual transformation of the source-load mode to the operation mode of source-load interaction. Based on the mature experience of domestic and foreign demand-side response mechanisms, this paper studies the load-side regulation mechanism to provide references for domestic load-side regulation. Aiming at the regulation requirements of the power system, a flexible and efficient load-side regulation mechanism involving large-scale load-side regulation resource aggregation is proposed. This mechanism is designed from four aspects: load regulation of market players, multi-time scale regulation of transactions, regulation form and regulation of capital sources. It is of great significance for breaking the interaction barriers of source and load and forming a market system with an efficient economy, orderly competition and perfect governance.

在大规模可再生能源并网比例不断增加的情况下,电力系统的频率安全已成为一个日益重要的问题.为此,提出了一种基于改进一次频率响应特性的鲁棒有功调度方法.针对传递函数高维难以求解的特点,提出了一种频域传递函数的简化降阶方法.推导了系统的时域频率响应特性,并将其引入到鲁棒有功调度模型中.仿真结果证明了方法在改善频率响应特性和提高可再生能源利用率方面的有效性.

The construction of a new power system will face challenges such as a high proportion of new energy consumption and a sustainable and reliable power supply. It is urgent to fully tap the potential of demand-side regulation, make up for the shortage of flexible regulation resources of the source side caused by a high proportion of new energy connected to the grid, and promote the transformation of power system operation to the mode of “source load interaction.” One of the effective ways to solve the above problem is to introduce a Hierarchical Load Response Center (HLRC) and establish a load regulation market, effectively promoting user participation in load regulation through market-oriented means. In this paper, the operation framework of “Dispatching Center + Trading Center + Hierarchical Load Response Center” is proposed to support the interaction of source and load under the new power system and the coordination and cooperation relationship of LRC in the operation of the load control market is analyzed. Based on this, the source load interaction mode led by HLRC is analyzed, and the source load interaction modes in the primary and secondary markets are proposed, respectively.

The thermal storage electric boiler load has good operation flexibility and continuous adjustability, which can effectively improve the peak load regulation capacity of the system and alleviate the difficulty of new energy consumption. In recent years, Zhangjiakou Shangyi area has built a clean heating demonstration county relying on the resources of thermal storage electric boilers to realize the demonstration application of flexible demand response. Based on the pilot practice of Shangyi, by modeling the operating characteristics of thermal storage electric boilers, and considering the impact of building heat dissipation and user thermal comfort, this paper constructs a day-ahead demand response model for multiple thermal storage electric boilers to participate in the peak shaving market in North China. Finally, this paper conducts an example analysis based on the actual situation in Shangyi area, and the results verify the adjustment potential of cluster thermal storage electric boilers in power-heat synergistic optimization and demand-side response.

Electricity price forecasting (EPF) is essential to the bidding strategy formulation and market operation. Since EPF is important in the electricity market, lots of forecasting approaches are proposed. However, the new scene caused by the volatility of renewable power generation and other volatility factors has made previous methods inaccurate and inapplicable. To address this problem, we propose an online self-adaptive forecasting method based on random forest, which is different from the traditional batch learning. Our approach takes possible fluctuations of the market into consideration, and adapts to them by maintaining training sets of different sizes. A case study using actual electricity market data has shown that our proposed approach obtains higher accuracy than ordinary approaches, as well as sheds light on possible concept drift in the market.

随着社会的发展和进步,科学技术也在不断地发展且互联网在不断地普及,为新媒体的发展提供了新的机遇.在这样的大环境下,晚报民生新闻就需要结合当下的实际发展情况进行深入分析,并且针对自身发展过程中存在的问题采取有效的解决措施,这样才能促进媒体行业的健康发展.本文针对新媒体时代晚报民生新闻中存在的问题进行分析和研究,并且提出突围措施.

1949年1月21日蒋介石"身先引退",由副总统李宗仁"代行总统职权".总统职务的暂时解除并不意味其政治身份和政治形象的解除.从蒋介石引退到国民党政权败退台湾,不论是宋美龄,还是国民党内的桂系、谋和派,抑或是国际方面,都在不同程度上为着不同的目的,或明或暗地考量并谋划着蒋介石的出处:出国,甚至流亡.蒋介石的个人出处问题不仅关涉国民党的分合,还会增加中国政治走向的变数,甚而关切亚洲的冷战形势.蒋介石也在或秘密或公开谋划和安排着自身的出处问题.

为解决学前听障儿童家庭教育指导服务难以满足家长个性化需求、运行机制不完善、教育资源匮乏等问题,山东省潍坊聋哑学校从开发家长课程、丰富服务路径、搭建语训康复云平台等方面着手,探索出一套较为成熟的家庭教育指导服务模式,切实提升了学前听障儿童家庭教育指导服务质量,促进了学前听障儿童的康复.

The Electricity Price Forecasting (EPF) is essential to the bidding strategy formulation and the market operation. However, lack of data and volatility of power generation have put forward new challenges for EPF. To address this problem, we propose an online self-adaptive forecasting method based on random forests. Our approach takes possible fluctuations of the market into consideration, and adapts to them by maintaining training sets of different size. A case study using actual electricity market data has shown that our proposed approach obtains higher accuracy as well as sheds light on possible concept drift in the market.

在5G+AICDE的移动互联网时代,通信资源管理对网络的运营与维护,具有重要意义和深远影响.在多年资源管理的基础上,文章详述了人工智能图像识别技术在通信资源管理领域的应用,通过图像识别技术对资源管理流程中需要人工审核的文档和照片信息进行识别,并实现自动审核.文章的研究旨在提升流程中人工审核的效率,减少人力资源消耗.

从乡村振兴战略20字方针的角度,青岛市乡村振兴齐鲁样板先行区建设取得了长足进步.但目前青岛市乡村振兴齐鲁样板先行区仍然存在着新型农业经营主体作用尚待提升、农业科技创新体系不完善、农业多功能价值有待发掘等问题.因此,需要充分发挥新型农业经营主体主力军作用、构建农业科技创新体系及推广机制、积极开发农业多功能价值等,以不断推进乡村振兴齐鲁样板先行区高质量发展.

受季风影响，我国北方地区三季干燥少雨、夏季高温多雨，因此河流水量也呈季节性特征：夏季汛期明显、以行洪功能为主，其他三季雨量不足，近乎干枯。随着城市大力发展和土地集约利用的趋势，存在不少建设用地侵占河道、生产生活废弃物污染河道等问题，这不仅严重破坏了河流的防洪安全和生态健康，也阻绝了人与水的亲近互动。因此，北方季节性河流的生态整治是践行绿色、安全、可持续发展，建设生态宜居环境的必由之路。

随着中国轨道交通事业的不断发展,自动化立体仓储设备几乎是每个车辆段、车辆基地必备的大型工艺设备.自动化立体仓库可以将货物与信息相结合,通过计算机自动实现货物的储存、管理、周转.可以提高土地使用率,利用建筑的高度空间、提高存储量、降低土地成本.但设备体积通常较大,一旦发生货物坠落或其他紧急情况后果不堪设想,完善可靠的各项安全装置是安全使用的根本保障.

When participating in demand response, the industrial adjustable load has the advantages of large capacity, high benefit, and easy management compared with commercial and residential loads. However, the stage of the production process is strongly coupled with the power consumption process, especially in the steel industry. Here, a multi-objective optimization model for the optimal scheduling of hot rolling load considering the actual production operation conditions was proposed, the model was abstracted into a vehicle routing problem (VRP) ,which is a typical combinatorial optimization problem .To minimize the cost of electricity and the risk of delivery order default, this paper considered the jump penalty value between adjacent slabs simultaneously, constructed an integrated scheduling model of hot rolling shop scheduling and power demand response, and designed a multi-objective production scheduling algorithm based on NSGA-II to solve the problem. The results showed that the proposed method can realize the reasonable distribution of production load under the constraints of electricity price and production.

To address the stochastic fluctuation of power output on the power side and the autonomous stochasticity of load-side participation in system operation interaction, it is urgent to establish a two-side stochastic power balance model in line with source-load interaction. In this paper, based on the analysis of the stochastic characteristics of the source and load sides, the stochastic model of the source and load sides is carried out, the double strong constraints of dynamic power balance and new energy consumption are proposed, and a new power balance model of the power system is established to meet the economic optimum under the premise of ensuring the safe operation of the system and reasonable consumption level.

针对微电网下电力系统通信易受到拒绝服务攻击(denial of service attack,DoS)、局部信息不开放以及通信带宽受限等问题,提出了一种基于DoS攻击的分布式事件触发的无模型预测补偿能量优化管理控制方法.首先,为了优化微电网能量供给并使得获利最大,给出考虑微电网功率损失的维持供需平衡的最小成本函数;其次,将微电网中的每个部分看作一个智能体并考虑了通信带宽受限问题,提出了一种分布式事件触发一致性算法;随后,提出一种基于输入输出数据的无模型预测控制算法,利用跟踪攻击前时刻的供需不匹配功率来预测补偿当前时刻及其后多个时刻的智能体功率数据缺失;最后,通过仿真实例验证所提出的基于分布式事件触发一致性预测补偿的微电网能量管理方法的有效性.

杜儿坪矿22610工作面在遇构造停产期间发生自然着火,利用正副巷低洼对火区进行水封后,密闭区成高浓度瓦斯库,通过施工千来钻孔对火区气体连续取样化验,满足《煤矿安全规程》第279条规定,确认火区熄灭.为确保火区启封后高浓度瓦斯安全排放,采用压入式局部风机结合瓦斯实时监控对封闭巷道进行分段锁风排放,成功将巷道高浓度瓦斯控制在1.0％左右安全排放,恢复全负压通风.结果 表明,火区信息判断正确且验证了分段锁风方案的可行性,可为火区启封及高浓度瓦斯排放工作提供参考.