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English(EN) Optimizing Appliance Scheduling for Solar Energy Management Using Metaheuristic Algorithms

元启发式算法优化太阳能电器调度

本文介绍了一种使用迭代局部搜索(ILS)和模拟退火(SA)的元启发式方法,用于优化太阳能管理的电器调度。目标是通过将电器使用与发电时间对齐来最大化太阳能利用率,同时最小化用户不便并遵守电池充电和逆变器限制等系统约束。所提出的方法将调度范围扩展到单日之外,以处理溢出的任务,确保连续性并实现多日顺序操作。 AI

影响 这项研究可能通过更好地将太阳能与电器使用相结合,从而实现更高效的家庭能源管理系统。

排序理由 该集群包含一篇学术论文,详细介绍了用于电器调度的新的元启发式方法。

在 arXiv cs.AI 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

元启发式算法优化太阳能电器调度

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该集群包含一篇学术论文,详细介绍了用于电器调度的新的元启发式方法。
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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Hiba Ahmed, Alexander E. I. Brownlee, Jason Adair, Simon T. Powers ·

    使用元启发式算法优化电器调度以进行太阳能管理

    arXiv:2606.13407v1 Announce Type: new Abstract: Renewable energy is essential for meeting future energy demands; however, solar energy generation, which occurs only during daylight hours often does not align with household consumption patterns. Appliances such as cookers, washing…

  2. arXiv cs.AI TIER_1 English(EN) · Simon T. Powers ·

    使用元启发式算法优化电器调度以进行太阳能管理

    Renewable energy is essential for meeting future energy demands; however, solar energy generation, which occurs only during daylight hours often does not align with household consumption patterns. Appliances such as cookers, washing machines, and dryers are typically operated acc…