Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
utils		utils
.DS_Store		.DS_Store
.gitattributes		.gitattributes
ARIMA.py		ARIMA.py
GBDT_forecast.py		GBDT_forecast.py
LSTM_Keras_multi_steps_multivariate.py		LSTM_Keras_multi_steps_multivariate.py
LSTM_Keras_one_step.py		LSTM_Keras_one_step.py
LSTM_Keras_one_step_multivariate.py		LSTM_Keras_one_step_multivariate.py
LSTM_seq2seq.py		LSTM_seq2seq.py
LSTM_seq2seq_2.py		LSTM_seq2seq_2.py
README.md		README.md
Xgboost_forecast.py		Xgboost_forecast.py
hangzhou_weather.csv		hangzhou_weather.csv
taizhou_weather.csv		taizhou_weather.csv

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Electricity Load Forecasting

ARIMA.py是用ARIMA做的时间序列分析
LSTM_Keras_one_step.py是用LSTM做的单步时间序列分析
LSTM_Keras_one_step_multivariate.py在单步预测的基础上，考虑更多的因素，比如三相电流、三相有功功率因数等等
LSTM_Keras_multi_steps_multivariate.py在单步多因素预测的基础上，考虑多步预测
GBDT_forecast.py是用GBDT实现了考虑了多因素的负荷预测，Xgboost_forecast.py与之结构类似
taizhou_weather.csv和hangzhou_weather.csv是台州和杭州1-7月份的每日最低和最高气温数据
utils是一些被调函数

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