This paper analyzes comparatively the performance of Random Forests and Gradient Boosting algorithms in the field of forecasting the energy consumption based on historical data. The two algorithms are applied in order to forecast the energy consumption individually, and then combined together by using a Weighted Average Ensemble Method. The comparison among the achieved experimental results proves that the Weighted Average Ensemble Method provides more accurate results than each of the two algorithms applied alone.
翻译:本文比较分析了随机森林和渐进推进算法在根据历史数据预测能源消耗方面的性能。 这两种算法用于预测单个能源消耗,然后通过使用加权平均组合法组合在一起。 对实验结果的比较证明,加权平均组合法比单独应用的两种算法都提供了更准确的结果。