Prediction of Electric Load Neural Network Prediction Model for Big Data

Xinru Chen
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Abstract

Based on the background of the new media era, this paper takes the research on the online advertising marketing characteristics of LEGO “Rebuild the World” series as an example to explore how brands should play the advantages of online marketing under the new internet background, update the creative thinking of online marketing communication, and achieve the purpose of clarifying the target consumer group positioning and optimizing the brand image. By combining the Method of combining observation and content analysis, the author found 3 characteristics of Lego “Rebuild the World” series online advertising, which are: using LEGO bricks to connect the seemingly unconnected toy world with the real world, showing the richness, diversity and plasticity of LEGO bricks; cleverly designed with lots of elements to maximize the imagination of adults and children; closely connected the digital world with the real world, making the online advertising of LEGO “Rebuild the World” timely, progressive and universal. In addition, in view of the updating of online marketing modes of major brands in the era of new media, the author also puts forward corresponding thinking: how to improve the fit between the host broadcast with goods and the brand image, and how to rationally apply the Internet platform to realize the updating of online marketing modes.
面向大数据的电力负荷神经网络预测模型
本文基于新媒体时代的背景,以乐高“重建世界”系列的网络广告营销特点研究为例,探讨品牌在新的互联网背景下如何发挥网络营销的优势,更新网络营销传播的创意思维,达到明确目标消费群体定位,优化品牌形象的目的。通过观察与内容分析相结合的方法,笔者发现了乐高“重建世界”系列网络广告的3个特点,即:用乐高积木将看似毫无关联的玩具世界与现实世界连接起来,展现出乐高积木的丰富性、多样性和可塑性;巧妙的设计,丰富的元素,最大限度地发挥成人和儿童的想象力;将数字世界与现实世界紧密相连,使得乐高“重建世界”的网络广告具有时代性、进步性和普适性。此外,针对各大品牌在新媒体时代网络营销模式的更新,笔者也提出了相应的思考:如何提高主持人带货播出与品牌形象的契合度,如何合理运用互联网平台实现网络营销模式的更新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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