Research Article
Research on Electricity Characteristic Recognition Method of Clean Heating Based on Big Data Model
@INPROCEEDINGS{10.1007/978-3-030-67874-6_3, author={Xin-lei Wang and Jia-song Luo and Tong Xu and Guo-bin Zeng}, title={Research on Electricity Characteristic Recognition Method of Clean Heating Based on Big Data Model}, proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2021}, month={1}, keywords={Clean heating Electricity forecasting Seasonal cycle Electricity characteristics}, doi={10.1007/978-3-030-67874-6_3} }- Xin-lei Wang
Jia-song Luo
Tong Xu
Guo-bin Zeng
Year: 2021
Research on Electricity Characteristic Recognition Method of Clean Heating Based on Big Data Model
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-67874-6_3
Abstract
Because the traditional coal-fired heating mode consumes a lot of energy and is harmful to the environment, it produces a clean heating mode using electric energy, which is realized by energy storage heating equipment. The operation of energy storage heating equipment needs to be planned according to the electricity characteristics of clean heating. Therefore, a method based on large data model is proposed to integrate the electricity characteristics of clean heating using Hadoop platform. Then, according to the integrated data, the electricity load characteristics, electricity consumption characteristics, electricity consumption cycle characteristics and regional characteristics are identified to complete the electricity characteristics of clean heating. Farewell. Through experimental demonstration, it is proved that this method can effectively identify the electrical characteristics of clean heating and accurately predict the future heating data.
