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