家庭能源管理是智能家居的关键场景，做能源调度或智能家电的开发者可以看看这个多日调度方案，它解决了太阳能与用户习惯错配的实际问题。
该论文提出使用迭代局部搜索（ILS）和模拟退火（SA）算法，优化家电（如炊具、洗衣机、烘干机）的启动时间，以最大化太阳能利用率并减少用户不便。研究考虑了设备运行时长、功耗、逆变器限制、电池状态和太阳能预测等约束。与现有工作不同，该调度方案支持跨多天连续运行，处理前一天未完成的任务。实验表明，多日顺序调度框架在仅依赖太阳能的情况下，能有效管理系统约束并保障用户便利。该研究为未来在设备投资、回报与用户满意度之间的多目标权衡提供了方向。
Optimizing Appliance Scheduling for Solar Energy Management Using Metaheuristic Algorithms
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 according to user preferred schedules rather than solar energy availability, creating a scheduling optimization problem. The objective is to determine optimal appliance start times to maximize renewable energy utilization while minimizing user inconvenience and adhering to system constraints. This paper presents a metaheuristic approach using Iterated Local Search (ILS) and Simulated Annealing (SA) to optimize appliance start times, while considering appliance operating durations, power consumption, inverter limit, battery state of charge constraints, and solar generation forecasts. Unlike most existing work, the scheduling is extended beyond a single day to accommodate unfinished tasks from previous days (spillover), ensuring operational continuity and enabling sequential operation across multiple days. Experimental results show that the sequential multi-day scheduling framework effectively manages system constraints while ensuring user convenience under exclusive solar generation. These findings also open opportunities for future research on multi-objective trade-offs between investment in equipment of various sizes, return on that investment, and user satisfaction.