[HTML][HTML] Forecasting: theory and practice

F Petropoulos, D Apiletti, V Assimakopoulos… - International Journal of …, 2022 - Elsevier
Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

Machine learning in energy economics and finance: A review

H Ghoddusi, GG Creamer, N Rafizadeh - Energy Economics, 2019 - Elsevier
Abstract Machine learning (ML) is generating new opportunities for innovative research in
energy economics and finance. We critically review the burgeoning literature dedicated to …

[HTML][HTML] Price forecasting through neural networks for crude oil, heating oil, and natural gas

B **, X Xu - Measurement: Energy, 2024 - Elsevier
Building price projections of various energy commodities has long been an important
endeavor for a wide range of participants in the energy market. We study the forecast …

Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization

S Karasu, A Altan - Energy, 2022 - Elsevier
Estimating the price of crude oil, which is seen as an important resource for economic
development and stability in the world, is a topic of great interest by policy makers and …

A new forecasting model with wrapper-based feature selection approach using multi-objective optimization technique for chaotic crude oil time series

S Karasu, A Altan, S Bekiros, W Ahmad - Energy, 2020 - Elsevier
Forecasting the future price of crude oil, which has an important role in the global economy,
is considered as a hot matter for both investment companies and governments. However …

Financial implications of fourth industrial revolution: Can bitcoin improve prospects of energy investment?

CW Su, M Qin, R Tao, M Umar - Technological Forecasting and Social …, 2020 - Elsevier
Bitcoin and the blockchain technology on which it is based are the key drivers behind the
accelerated pace of Fourth Industrial Revolution in the domain of Finance. The offshoots of …

A deep learning ensemble approach for crude oil price forecasting

Y Zhao, J Li, L Yu - Energy Economics, 2017 - Elsevier
As crude oil price is influenced by numerous factors, capturing its behavior precisely is quite
challenging, and thus leads to the difficulty of forecasting. In this study, a deep learning …

[PDF][PDF] Can the green bond market enter a new era under the fluctuation of oil price?

CW Su, Y Chen, J Hu, T Chang, M Umar - Economic research …, 2023 - hrcak.srce.hr
This paper investigates how oil price (OP) influences the prospects of green bonds by
utilising the quantile-onquantile (QQ) method and researching the interactions between OP …

Intelligent food processing: Journey from artificial neural network to deep learning

J Nayak, K Vakula, P Dinesh, B Naik, D Pelusi - Computer Science Review, 2020 - Elsevier
Since its initiation, ANN became popular and also plays a key role in enhancing the latest
technology. With an increase in industrial automation and the Internet of Things, now it is …

[PDF][PDF] Predicting future Brent oil price on global markets.

M Vochozka, J Horák, T Krulický… - Acta Montanistica …, 2020 - researchgate.net
International oil prices affect the development of many ar world economy, where most
predictions of macro variables depend on the changes in oil prices. The high vo oil prices is …