会议信息

CSPE 2026: International Conference on Computational Science and Power Engineering

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截稿日期:
2025-12-10
通知日期:
2026-01-10
会议日期:
2026-03-28
会议地点:
Hefei, China
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会伴指数 (CP-I)

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全站第 3,472 名 / 共 5,693 个会议 · 前 61%

能源与环境 第 140 / 298 系统与体系结构 第 254 / 341

证据有限：这个会议不在 CCF / ICORE / QUALIS 任何一份榜单里，也没有录用率数据，因此分数的大部分回落到了中性基准。
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%) 无数据 —— 按中性基准 50 分计入 —
社区关注 (10%)
8
资料公开度 (15%)
35

用到的输入: 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 25% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-06

征稿

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.
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