Data science and big data analytics: A systematic review of methodologies used in the supply chain and logistics research
Data science and big data analytics (DS &BDA) methodologies and tools are used
extensively in supply chains and logistics (SC &L). However, the existing insights are …
extensively in supply chains and logistics (SC &L). However, the existing insights are …
Forecasting energy use in buildings using artificial neural networks: A review
During the past century, energy consumption and associated greenhouse gas emissions
have increased drastically due to a wide variety of factors including both technological and …
have increased drastically due to a wide variety of factors including both technological and …
Data analytics in the supply chain management: Review of machine learning applications in demand forecasting
A Aamer, LP Eka Yani… - Operations and Supply …, 2020 - journal.oscm-forum.org
In today's fast-paced global economy coupled with the availability of mobile internet and
social networks, several business models have been disrupted. This disruption brings a …
social networks, several business models have been disrupted. This disruption brings a …
Systematic review of deep learning and machine learning for building energy
The building energy (BE) management plays an essential role in urban sustainability and
smart cities. Recently, the novel data science and data-driven technologies have shown …
smart cities. Recently, the novel data science and data-driven technologies have shown …
An optimized nonlinear grey Bernoulli prediction model and its application in natural gas production
C Liu, T Lao, WZ Wu, W **e, H Zhu - Expert Systems with Applications, 2022 - Elsevier
Natural gas, an efficient, eco-friendly and clean green energy, has become one of the
important energy structures of various countries in the world, accurately predicting the …
important energy structures of various countries in the world, accurately predicting the …
Natural gas consumption forecasting: A discussion on forecasting history and future challenges
J Liu, S Wang, N Wei, X Chen, H **e, J Wang - Journal of Natural Gas …, 2021 - Elsevier
Natural gas consumption forecasting technology has been researched for 70 years. This
paper reviews the history of natural gas consumption forecasting, and discusses the …
paper reviews the history of natural gas consumption forecasting, and discusses the …
Principles, research status, and prospects of feature engineering for data-driven building energy prediction: A comprehensive review
With the rapid growth in the volume of relevant and available data, feature engineering is
emerging as a popular research subject in data-driven building energy prediction owing to …
emerging as a popular research subject in data-driven building energy prediction owing to …
Using machine learning tools for forecasting natural gas consumption in the province of Istanbul
Commensurate with unprecedented increases in energy demand, a well-constructed
forecasting model is vital to managing energy policies effectively by providing energy …
forecasting model is vital to managing energy policies effectively by providing energy …
An active approach to heat transfer enhancement in indirect heaters of city gate stations: an experimental modeling
A major problem with gas pressure reduction stations is the very low thermal efficiency of
indirect water bath heaters (IWBHs) used to prevent gas hydration. In this study, an …
indirect water bath heaters (IWBHs) used to prevent gas hydration. In this study, an …
Energy prediction techniques for large-scale buildings towards a sustainable built environment: A review
Building energy prediction techniques are the primary tool for moving towards sustainable
built environments. Energy prediction models play irreplaceable roles in making energy …
built environments. Energy prediction models play irreplaceable roles in making energy …