Demand forecasting on time series with external correlation using deep learning techniques

Demand forecasting on time series with external correlation using deep learning techniques

Demand Forecasting is undoubtedly the most crucial step for any organizations dealing with Supply Chain - in fact, it is the first step for planners and decision-makers in the industry. This step determines the estimated demand for the organization’s goods or services in the immediate future, and se...

Saved in:

書目詳細資料
主要作者:	Teo, Boon Shuan
其他作者:	Jagath C Rajapakse
格式:	Final Year Project
語言:	English
出版:	Nanyang Technological University 2021
主題:	Engineering::Computer science and engineering
在線閱讀:	https://hdl.handle.net/10356/153859
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Improving time series forecasting performance with deep learning techniques
由: Zhang, Kanghao
出版: (2021)

Deep learning for financial time series forecasting
由: Xia, Yuqian
出版: (2018)

Deep learning for power system time series forecasting
由: Sun, Weijia
出版: (2018)

Deep learning techniques for anomaly detection in time series data using transformer
由: Chan, Rachel Si Min
出版: (2022)

Short-term electrical load demand forecasting with deep learning techniques
由: Singh, Arnav
出版: (2022)

Feature selection for demand forecasting incorporating external covariates
由: Mantri, Raghav
出版: (2021)

Learning deep time-index models for time series forecasting
由: WOO, Jiale Gerald, et al.
出版: (2023)

Fuzzy associative learning of feature dependency for time series forecasting
由: Ng, See Kiong, et al.
出版: (2013)

Deep neural networks for financial time series forecasting
由: Liu, Ting-Jun
出版: (2020)

Time series demand forecasting on NYC taxi dataset
由: Teh, Timothy Rui Sheng
出版: (2024)

Deep representation learning for time series forecasting
由: WOO, Gerald
出版: (2024)

Deep learning based anomaly detection in time-series data
由: Zeng, Jinpo
出版: (2020)

Computational intelligence-based time series forecasting
由: Du, Liang
出版: (2023)

Learning elastic memory online for fast time series forecasting
由: Samanta, Subhrajit, et al.
出版: (2022)

Forecasting inbound tourism demand to China using time series models and belief functions
由: Jiechen Tang, et al.
出版: (2018)

Time-series data analysis for commodity demand forecasting : construction output modeling and prediction
由: Peng, Shibo
出版: (2017)

Deep learning in stock market forecasting
由: Wijaya, Michael
出版: (2022)

INFLATION PREDICTION WITH EXTERNAL FACTORS USING TIME SERIES MODELS AND DEEP LEARNING
由: Almalorenza Rusli, Carren

Deep neural networks for time series classification
由: Cheng, Wen Xin
出版: (2023)

Financial time series data pattern detection, forecasting and its application
由: Ooi, Yuxuan
出版: (2021)

Software development of pattern recognition and forecasting on financial time series data
由: Zhao, Ziru
出版: (2020)

Deep learning methods for financial time series classification
由: Chua, Dian Lun
出版: (2021)

Ensemble time series forecasting with applications in power systems and financial markets
由: Qiu, Xueheng
出版: (2018)

Financial time series forecasting using twin support vector regression
由: Gupta, Deepak, et al.
出版: (2019)

APPLICATION OF DEEP LEARNING IN PRODUCT DEMAND FORECASTING
由: Oktavio, Audric

Pattern recognition and forecasting from multiple financial time series data and news
由: Yee Aung, Su Wai
出版: (2021)

Software development of pattern recognition and forecasting on financial time series data and news
由: Huang, YuHang
出版: (2022)

Financial time series data forecasting
由: Tsai, Hao Wei
出版: (2019)

Deep learning algorithms for classification of financial time series data
由: Lim, Kai Wei
出版: (2020)

Deep learning algorithms for classification of financial time series data
由: Saputra, Kevin
出版: (2020)

Federated learning based appliance-level energy demand forecasting for residential buildings
由: Suriyasekaran, Seima Saki
出版: (2021)

Demand forecasting on air passenger travel to Sri Lanka : an evaluation of statistical, time series and artificial intelligence model
由: Sivakumar, Tarshan
出版: (2018)

Stock forecasting using transformers, an emerging machine learning technique
由: Seoh, Jun Yu
出版: (2022)

Detecting malware using deep learning techniques
由: Koh, Darrell Nern Wei
出版: (2021)

Music generation with deep learning techniques
由: Tan, Wen Xiu
出版: (2023)

External Validation of Deep Learning Algorithms for Cardiothoracic Ratio Measurement
由: Warasinee Chaisangmongkon, et al.
出版: (2022)

Deep learning techniques for text classification
由: Raihan, Diardano
出版: (2021)

Multi-step time series forecasting
由: Lin, Jacky
出版: (2024)

Explainable deep learning for time-series medical data predictions
由: Pong, Kok Wai
出版: (2025)

Deep learning techniques and sentiment analysis
由: Kwan, Yu Ting
出版: (2021)