Concepedia

A systematic data-driven approach for production forecasting of coalbed methane incorporating deep learning and ensemble learning adapted to complex production patterns

Shuyi Du, Jiulong Wang, Meizhu Wang, Jiaosheng Yang, Cong Zhang, Yang Zhao, Hongqing Song

Energy · 2022 · 84 citations · 33 references

Concepts

ComputingData ScienceEarth SciencesForecastingMachine LearningTime Series AnalysisDeep LearningEnsemble ForecastingEnsemble LearningEnsemble MethodsProduction ForecastingTime Series PredictionCoalbed Methane PotentialDeep Learning For ForecastingFlow In Coalbed Methane ReservoirsGas Production ForecastingMethaneNeural Time Series ForecastingPredictive Emission Modeling

References

33

Leo Breiman · Machine Learning · 2001 · 126.2K citations · Full text

Long Short-Term Memory

Sepp Hochreiter, Jürgen Schmidhuber · Neural Computation · 1997 · 98.1K citations

Computing, Computer Science, Algorithms +16

Greedy function approximation: A gradient boosting machine.

Jerome H. Friedman · The Annals of Statistics · 2001 · 29K citations · Full text

Computing, Computer Science, Mathematics +17

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

Yoav Freund, Robert E. Schapire · Journal of Computer and System Sciences · 1997 · 20.3K citations

Computing, Computer Science, Mathematics +14

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Jun‐Young Chung, Çağlar Gülçehre, Kyunghyun Cho et al. · arXiv (Cornell University) · 2014 · 10.8K citations · Full text

Computing, Data Science, Machine Learning +13