FUNCTIONAL MACHINE LEARNING WITH APPLICATION TO DAY-AHEAD FORECASTING OF NATURAL GAS FLOW DATA

FUNCTIONAL MACHINE LEARNING WITH APPLICATION TO DAY-AHEAD FORECASTING OF NATURAL GAS FLOW DATA

Master's

Saved in:

Bibliographic Details
Main Author:	XU XIUQIN
Other Authors:	STATISTICS & APPLIED PROBABILITY
Format:	Theses and Dissertations
Language:	English
Published:	2018
Subjects:	functional data, LSTM, time series, machine learning, energy, FPCA
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/139704
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore
Language:	English

Similar Items

Adaptive Modeling and Forecasting for High-Dimensional Time Series
by: LI BO
Published: (2015)

A hybrid approach for high precision prediction of gas flows
by: Petkovic, Milena, et al.
Published: (2022)

HIGH-DIMENSIONAL NONSTATIONARY TIME SERIES MODELING WITH FUNCTIONAL DATA ANALYSIS AND DEEP LEARNING
by: XU XIUQIN
Published: (2022)

A machine learning model for automated forecasting of large-value payment system transactions
by: Sadornas, Patrick Joseph M.
Published: (2015)

APPLICATIONS OF MACHINE LEARNING IN CONTROLLING OF ROBOTIC MEDICAL DEVICES
by: HOANG NGOC SON
Published: (2020)

Dynamically-biased fixed-point LSTM for time series processing in AIoT edge device
by: Hu, Jinhai, et al.
Published: (2024)

Modified support vector machines in financial time series forecasting
by: Tay, F.E.H., et al.
Published: (2014)

Time series forecasting using wavelet and support vector machine
by: FONG KENG MUN
Published: (2010)

HIGH-DIMENSIONAL TIME SERIES MODELLING AND FORECASTING WITH APPLICATION TO HIGH-FREQUENCY FINANCIAL AND ENERGY DATA
by: CHUA WEE SONG
Published: (2018)

Analyzing Weather Patterns for Predicting Floods with Regression Models
by: Ruaro, Erickson Neil G., II, et al.
Published: (2022)

SELF-DRIVING TECHNIQUES FOR NETWORK SERVICES
by: WU BINGHUI
Published: (2023)

Financial forecasting using Support Vector Machines
by: Cao, L., et al.
Published: (2014)

Feasibility of Using Phone and Web Cameras to Detect Micro-Expressions for Lie Detection
by: Lim,, Lanz Kendall, et al.
Published: (2021)

Time Series Forecasting of E- Databases Subscription Mahidol University Library with Exponential Smoothing, LSTM, and ARIMA Models
by: Vanaphol Chamsukhee
Published: (2021)

ε-Descending support vector machines for financial time series forecasting
by: Tay, F.E.H., et al.
Published: (2014)

Tunnel surface settlement forecasting with ensemble learning
by: Yan, K., et al.
Published: (2021)

Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map
by: Tay, F.E.H., et al.
Published: (2014)

VERY SHORT-TERM GLOBAL HORIZONTAL IRRADIANCE (GHI) FORECASTING USING MACHINE LEARNING
by: KILAPARTHI AISHWARYA
Published: (2022)

A machine learning-based framework for aircraft maneuver detection and classification
by: Dang, Phuoc H., et al.
Published: (2021)

A review study of functional autoregressive models with application to energy forecasting
by: CHEN, Ying, et al.
Published: (2020)

Short-term load forecasting using time series analysis: A case study for Singapore
by: Deng, J., et al.
Published: (2014)

CoST: contrastive learning of disentangled seasonal-trend representations for time series forecasting
by: WOO, Gerald, et al.
Published: (2022)

Time series forecasting using backpropagation neural networks
by: Wong, F.S.
Published: (2014)

Simple noise-reduction method based on nonlinear forecasting
by: Tan, James Peng Lung
Published: (2018)

Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning
by: Gao, Ruobin, et al.
Published: (2023)

Time-series representation learning via temporal and contextual contrasting
by: Eldele, Emadeldeen, et al.
Published: (2022)

STATISTICAL MODELING FOR COMPLEX FUNCTIONAL AND NETWORK TIME SERIES DATA
by: ZHANG JIEJIE
Published: (2019)

FORECASTING BITCOIN PRICES USING DEEP LEARNING AND MACHINE LEARNING
by: PANKHURI AGGARWAL
Published: (2021)

Topological machine learning for multivariate time series
by: Wu, Chengyuan, et al.
Published: (2021)

AN ENSEMBLE OF MACHINE LEARNING AND ECONOMETRICS VOLATILITY FORECASTING METHODS
by: TUAN DING WEI
Published: (2021)

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

A transformer-based deep learning model for predicting residential load demand
by: Zhang, Xijia
Published: (2024)

Practical inverse approach for forecasting nonlinear hydrological time series
by: Phoon, K.K., et al.
Published: (2014)

Online deep learning: Learning deep neural networks on the fly
by: SAHOO, Doyen, et al.
Published: (2018)

Play and Rewind: Optimizing Binary Representations of Videos by Self-Supervised Temporal Hashing
by: Hanwang Zhang, et al.
Published: (2020)

Hourly solar irradiance time series forecasting using cloud cover index
by: Yang, D., et al.
Published: (2014)

Application of Extended-Rydberg parameters for extracting the 2-body portion of Kaxiras-Pandey function
by: Lim, T.-C.
Published: (2014)

Forecast combinations in machine learning
by: QIU, Yue, et al.
Published: (2020)

Forecasting of hydrologic time series with ridge regression in feature space
by: Yu, X., et al.
Published: (2014)

An ensemble approach for short-term load forecasting by extreme learning machine
by: Li, Song, et al.
Published: (2017)