23miya / -LSTM-
基于 LSTM 循环神经网络的电力系统负荷预测分析。建立 CART 回归树以及 LSTM 模型对该地区未来 10 天间隔 15 分钟负荷以及未来 3 个月负荷最大最小值进行预测。将行业数据分为大工业用电最大值、大工业用电最小 值；非普工业最大值、非普工业最小值；普通工业最大值、普通工业最小值； 商业最大值、商业最小值八个数据集分别进行研究，采用设定阈值的方法得出 每个行业最大值和最小值负荷突变点，并根据每个突变点的时间和量级都做了原因分析。之后，分别采用了 CART 回归树、LSTM 模型以及 KNN 算法对八个数据集进行负荷预测，对比三个模 型的预测精度发现 LSTM 模型效果最佳。
☆34Updated last year
Alternatives and similar repositories for -LSTM-:
Users that are interested in -LSTM- are comparing it to the libraries listed below
- 使用多种算法（线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM）进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vecto…☆160Updated 4 years ago
- 本科毕业设计：基于TCN的电力负荷预测算法☆15Updated last year
- 基于深度学习的多特征电力负荷预测☆129Updated 4 years ago
- 电力负荷的时间序列未来预测☆19Updated 2 years ago
- 光 伏功率预测☆28Updated 6 years ago
- 使用LSTM、ANN网络进行时间序列的多步预测。一般情况下机器学习算法在进行时间序列预测时采取一步预测的方法。该段代码将其拓展到多步预测的情形。主要改进在于数据的构建。LSTM and ANN are used to predict the time series. In …☆14Updated 4 years ago
- Load forecasting using LSTM and BP.使用LSTM、BP神经网络实现负荷预测☆16Updated 3 years ago
- Short-Term Aggregated Residential Load Forecasting using BiLSTM and CNN-BiLSTM☆31Updated 2 years ago
- 多元多步时间序列的LSTM模型预测——基于Keras☆80Updated 3 years ago
- Performed comparative analysis of BiLSTM, CNN-BiLSTM and CNN-BiLSTM with attention models for forecasting cases.☆38Updated last year
- ☆23Updated 2 months ago
- 光伏发电功率预测☆74Updated 4 years ago
- 一种有效的电力负荷预测方法☆60Updated 5 years ago
- 电力系统短期负荷预测☆42Updated 4 years ago
- 使用支持向量机、弹性网络、随机森林、LSTM、SARIMA等多种算法进行时间序列的回归预测，除此以外还采取了多种组合方法对以上算法输出的结果进行组合预测。Support vector machine, elastic network, random forest, LSTM…☆44Updated 4 years ago
- 使用PYTorch框架建立的一个简单的LSTM模型来进行电力负荷预测☆34Updated 11 months ago
- ☆26Updated 2 years ago
- Wind Power Forecasting Based on Hybrid CEEMDAN-EWT Deep Learning Method☆55Updated last year
- Electricity price (energy demand) forecasting using different ML, DL, stacked DL and hybrid methods (XGBoost, GRU, LSTM, CNN, CNN-LSTM, L…☆37Updated last year
- LSTM与电力负荷预测☆8Updated 3 years ago
- Implementation of Electric Load Forecasting Based on LSTM (BiLSTM). Including direct-multi-output forecasting, single-step-scrolling fore…☆94Updated 2 years ago
- ☆32Updated 2 years ago
- CNN+LSTM+Attention实现时间序列预测☆47Updated 9 months ago
- PyTorch实现的Informer (Informer:用于长序列时间序列预测☆22Updated 2 years ago
- 基于LSTM的电力负荷预测☆143Updated 6 years ago
- ☆24Updated 2 years ago
- MFTCN: A Multi-Frequency Temporal Convolutional Network for Short-Term Temperature Prediction☆13Updated last year
- 基于pytorch搭建多特征LSTM时间序列预测☆163Updated 2 years ago
- ☆29Updated last year
- Time Series Forecasting of Bitcoin Prices using LSTM and RNN with Particle Swarm Optimization and Grey Wolf Optimizer☆19Updated last year