Conference Information

CSPE 2026: International Conference on Computational Science and Power Engineering

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Submission Date:
2025-12-10
Notification Date:
2026-01-10
Conference Date:
2026-03-28
Location:
Hefei, China
Viewed: 3406   Tracked: 0   Attend: 0
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Conference Partner Index (CP-I)

43.6 / 100
Ranked #3,472 of 5,693 conferences · Top 61%

#140 of 298 in Energy & Environment #254 of 341 in Systems & Architecture

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
8
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 2

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-10-06

Call For Papers

CSPE 2026 (International Conference on Computational Science and Power Engineering) is an academic conference held in Hefei, China on 2026-03-28. The paper submission deadline is 2025-12-10. Acceptance notifications are sent on 2026-01-10.

The International Conference on Computational Science and Power Engineering (CSPE 2026) will be take place in Hefei, Anhui, China during March 28th-30th, 2026. CSPE 2026 invites special session and workshop/tutorial proposals, regular papers, industry papers and presentation-only papers related to the conference topics, which include but are not limited to: Computational models and algorithms: Developing and applying efficient computational methods to solve complex problems in power systems, such as grid optimization, load forecasting, and system reliability analysis. Simulation and modeling: Using computational models to simulate the behavior of power systems, assess the impact of new technologies, and conduct performance testing of the system. Data Analysis in Power Systems: Utilizing big data technology, machine learning, and artificial intelligence to analyze the vast amounts of data in power systems, thereby improving the accuracy and efficiency of decision-making. Renewable Energy Technologies: Exploring how computational methods can be used to optimize and manage the integration of renewable energy sources such as wind and solar power. Automation and Control of Power Systems: Researching how to apply computing technology to automate the operation and maintenance of power systems, enhancing the intelligence level of the systems. Grid security and protection technology: using computational methods to design more effective grid protection and security strategies.
Last updated by Dou Sun on

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