会议信息

IRSES 2027: Intelligent, Resilient, and Sustainable Energy Systems

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截稿日期:
2026-08-15
通知日期:
2026-11-01
会议日期:
2027-02-19
会议地点:
Gandhinagar, Gujarat, India
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43.8 / 100
全站第 3,398 名 / 共 5,697 个会议 · 前 60%

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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%)
10
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：3 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 2026-10-12

征稿

IRSES 2027 (Intelligent, Resilient, and Sustainable Energy Systems) is an academic conference held in Gandhinagar, Gujarat, India on 2027-02-19. The paper submission deadline is 2026-08-15. Acceptance notifications are sent on 2026-11-01.

Technical Tracks Submit original research across intelligent, resilient, and sustainable energy systems. 01 AI and Data-Driven Energy Systems Machine learning for energy forecasting, optimization, and control Foundation models and multimodal learning for energy data Explainable and trustworthy AI in energy systems AI for energy systems Causal inference and uncertainty quantification 02 Cyber-Physical and IoT-Enabled Energy Infrastructure Smart grids and cyber-physical energy systems IoT architectures for sensing, monitoring, and control Edge computing and real-time energy analytics Digital twins for energy systems Security and privacy in energy infrastructure 03 Resilient, Decentralized, and Market-Driven Energy Systems Grid resilience under climate and extreme events Distributed energy resources (DERs) and microgrids Demand response and transactive energy systems Energy markets, pricing, and game-theoretic models Policy-aware and regulation-driven system design 04 Sustainable Energy Technologies and Circular Systems Renewable energy systems including solar, wind, hydrogen, and hybrid systems Energy storage technologies and optimization Waste-to-energy and circular energy systems Lifecycle analysis and carbon-aware design Integrated energy systems across electric, thermal, and hydrogen domains 2D materials for photovoltaic applications AI for climate control RF energy harvesting Low-power rectennas 05 Energy Efficient and Secure Hardware Architecture for Edge AI Systems Quantum-inspired and next-generation hardware In-memory computing for AI Real-time edge intelligence systems Secure hardware design for AI systems GPU/NPU optimization for edge inference Low-power VLSI architectures for AI acceleration Energy-aware processor design for edge devices Neuromorphic and bio-inspired architectures FPGA-based AI accelerators for edge computing
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