Analysis of Meteorological Factors on Power Supply-Demand Balance: A Case Study of Jiangsu Province

This study explores the effects of meteorological factors on power demand and supply, particularly in the context of China's pursuit of carbon peaking and carbon neutrality goals and its transition to high-quality economic growth. It highlights the increasing significance of electricity consumption and renewable energy generation volatility, as well as the escalating impact of weather conditions on power balance. By utilizing a two-way fixed effects regression model, the research analyzes daily electricity consumption, load data, and meteorological information sourced from Jiangsu Province. The findings reveal that temperature, precipitation, wind speed, and solar irradiance have substantial impacts on both electricity consumption and renewable energy generation. Furthermore, the study investigates the consequences of extreme temperature events on power load and emphasizes the need for an integrated power balance analysis model.

Authors

Institutions

Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/sgee64306.2024.10865933
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Meteorological Factors on Power Supply-Demand Balance: A Case Study of Jiangsu Province

Wenjun Zhou, Wenhao Chen, Jing Yang, Liang Xie
Power Systems and Renewable Energy
article

Analysis of Meteorological Factors on Power Supply-Demand Balance: A Case Study of Jiangsu Province

Wenjun Zhou, Wenhao Chen, Jing Yang, Liang Xie
article en

Abstract

This study explores the effects of meteorological factors on power demand and supply, particularly in the context of China's pursuit of carbon peaking and carbon neutrality goals and its transition to high-quality economic growth. It highlights the increasing significance of electricity consumption and renewable energy generation volatility, as well as the escalating impact of weather conditions on power balance. By utilizing a two-way fixed effects regression model, the research analyzes daily electricity consumption, load data, and meteorological information sourced from Jiangsu Province. The findings reveal that temperature, precipitation, wind speed, and solar irradiance have substantial impacts on both electricity consumption and renewable energy generation. Furthermore, the study investigates the consequences of extreme temperature events on power load and emphasizes the need for an integrated power balance analysis model.

Economic Research Institute (BG)
State Grid Jiangsu Electric Power
Climate action, Affordable and clean energy
Openalex Percentile: Top 70%
Power Systems and Renewable Energy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Analysis of Meteorological Factors on Power Supply-Demand Balance: A Case Study of Jiangsu Province — Wenjun Zhou, Wenhao Chen, et al. · (2024) | TGRS Research Map | TGRS