论文标题
使用负载和太阳能生成预测的最佳活动和电池调度算法
Optimal activity and battery scheduling algorithm using load and solar generation forecasts
论文作者
论文摘要
能源使用最佳计划在提出了各种方法的电力系统社区中引起了极大的关注。但是，在实际应用程序中，最佳的调度问题需要可靠的能源预测，这几乎不能作为计划问题的共同解决方案。 5 \ textsuperscript {th} IEEE计算情报协会（IEEE-CIS）竞争提出了一个实践问题，即通过安排建筑物活动来减少电费，在这种情况下，预测太阳能产生和建筑消耗是必要的。为了解决这个问题，我们提出了一个技术序列，以解决太阳能光伏和需求预测和最佳调度问题，其中提出了太阳能生成预测方法和最佳的大学讲座调度算法。
Energy usage optimal scheduling has attracted great attention in the power system community, where various methodologies have been proposed. However, in real-world applications, the optimal scheduling problems require reliable energy forecasting, which is scarcely discussed as a joint solution to the scheduling problem. The 5\textsuperscript{th} IEEE Computational Intelligence Society (IEEE-CIS) competition raised a practical problem of decreasing the electricity bill by scheduling building activities, where forecasting the solar energy generation and building consumption is a necessity. To solve this problem, we propose a technical sequence for tackling the solar PV and demand forecast and optimal scheduling problems, where solar generation prediction methods and an optimal university lectures scheduling algorithm are proposed.
