基于短期电网负荷智能预测算法的新能源调度策略

New Energy Dispatch Strategy Based on Short-term Power Grid Load Intelligent Prediction Algorithm

本文提出了一种基于机器学习和时间序列分析的新能源调度算法,可以通过准确预测短期的电网负荷和新能源发电情况,并根据预测结果进行合理地调度安排。实验结果表明,所提出的算法在短期电网负荷预测和新能源调度方面具有较好的性能和准确度,有效提高了电力系统调度的效率和可靠性,实现了对新能源的合理调度。

This article proposes a new energy scheduling algorithm based on machine learning and time series analysis,which accurately predicts short-term power grid load and new energy gen eration situation,and makes reasonable scheduling arrangements based on the predicted results.The experimental results show that the proposed algorithm has good performance and accuracy in short-term power grid load forecasting and new energy dispatch.Effectively improve the efficiency and reliability of power system scheduling,and achieve reasonable scheduling of new energy.