A short-term hybrid forecasting model for time series electrical-load data using random forest and bidirectional long short-term memory

Zannatul Ferdoush; Booshra Nazifa Mahmud; Amitabha Chakrabarty; Jia Uddin

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A short-term hybrid forecasting model for time series electrical-load data using random forest and bidirectional long short-term memory

机译：使用随机林和双向短期内记忆的时间序列电荷数据的短期混合预测模型

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In the presence of the deregulated electric industry, load forecasting is more demanded than ever to ensure the execution of applications such as energy generation, pricing decisions, resource procurement, and infrastructure development. This paper presents a hybrid machine learning model for short-term load forecasting (STLF) by applying random forest and bidirectional long short-term memory to acquire the benefits of both methods. In the experimental evaluation, we used a Bangladeshi electricity consumption dataset of 36 months. The paper provides a comparative study between the proposed hybrid model and state-of-art models using performance metrics, loss analysis, and prediction plotting. Empirical results demonstrate that the hybrid model shows better performance than the standard long short-term memory and the bidirectional long short-term memory models by exhibiting more accurate forecast results.

机译：在解除管制电力工业的情况下，负载预测比以往更有要求，以确保执行能源发电，定价决策，资源采购和基础设施发展等应用。本文通过应用随机森林和双向短期内存来介绍短期负荷预测（STLF）的混合机学习模型，以获取两种方法的益处。在实验评估中，我们使用了36个月的孟加拉国电力消费数据集。本文提供了使用性能指标，损失分析和预测绘图的提议的混合模型和最先进模型之间的比较研究。经验结果表明，通过表现出更准确的预测结果，混合动力模型比标准长短期内存和双向长期内存模型更好地表现出更好的性能。

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《International Journal of Electrical and Computer Engineering》 |2021年第1期|共9页
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Zannatul Ferdoush; Booshra Nazifa Mahmud; Amitabha Chakrabarty; Jia Uddin;
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7. A short-term hybrid forecasting model for time series electrical-load data using random forest and bidirectional long short-term memory [O] . Zannatul Ferdoush, Booshra Nazifa Mahmud, Amitabha Chakrabarty, 2021

机译：使用随机林和双向短期内记忆的时间序列电荷数据的短期混合预测模型

A short-term hybrid forecasting model for time series electrical-load data using random forest and bidirectional long short-term memory

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