E3S Web Conf.
Volume 293, 20212021 3rd Global Conference on Ecological Environment and Civil Engineering (GCEECE 2021)
|Number of page(s)
|Environmental Energy and Civil Engineering and Water Conservancy Construction
|23 July 2021
Establishment and prediction of energy demand model in Yunnan Province based on spatial nodes
1 Electric Power Research Institute, Yunnan Power Grid Co. Ltd, Kunming, China
2 Kev Laboratory in Software Engineering of Yunnan Province, School of Software, Yunnan University, China
3 Information Center Yunnan Power Grid Co. Ltd Kunming China
* Corresponding author: email@example.com
Energy demand is closely related to energy price, GDP and population. By using the shortest path algorithm and K-means clustering, we set up the spatial nodes, and carried out the model simulation to predict the energy demand of Yunnan Province. The results show that the total energy consumption of Yunnan Province will still show an upward trend from 2020 to 2015; hydropower silicon integration projects in Yunnan Province, the power supply and demand situation in Yunnan Province will change from oversupply to basic balance between supply and demand, and the role of thermal power in dry season will be played to make the decline of coal consumption tend to be smooth; from 2020 to 2025, Yunnan’s electricity consumption will increase by about 8.02% year-on-year. However, according to the commissioning of some projects, the total electricity consumption in the province will be about 192.9 billion kwh in 2020, with a yearon-year increase of 12.3%.
© The Authors, published by EDP Sciences, 2021
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