kears搭建lstm实现用电量预测时间序列预测

# -*- coding: utf-8 -*-
# 导入库pip install openpyxl -i https://pypi.tuna.tsinghua.edu.cn/simple
import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn import metrics
from sklearn.metrics import mean_squared_error  # 评价指标
import matplotlib.pyplot as plt
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM, GRU
from keras import optimizers
import keras
import tensorflow as tf
#  mse rmse mae rmape
#  adam sgd
plt.rcParams['font.sans-serif'] = ['SimHei']
plt.rcParams['axes.unicode_minus'] = False
import warnings
warnings.filterwarnings("ignore&