Conventional models and artificial intelligence-based models for energy consumption forecasting: A review

N Wei, C Li, X Peng, F Zeng, X Lu - Journal of Petroleum Science and …, 2019 - Elsevier
Conventional models and artificial intelligence (AI)-based models have been widely applied
for energy consumption forecasting over the past decades. This paper reviews conventional …

Natural gas consumption forecasting: A discussion on forecasting history and future challenges

J Liu, S Wang, N Wei, X Chen, H Xie, 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 …

Short-term natural gas consumption prediction based on Volterra adaptive filter and improved whale optimization algorithm

W Qiao, Z Yang, Z Kang, Z Pan - Engineering Applications of Artificial …, 2020 - Elsevier
Short-term natural gas consumption prediction is an important indicator of natural gas
pipeline network planning and design, which is of great significance. The purpose of this …

A new hybrid algorithm model for prediction of internal corrosion rate of multiphase pipeline

S Peng, Z Zhang, E Liu, W Liu, W Qiao - Journal of Natural Gas Science …, 2021 - Elsevier
Pipeline plays an important role in the oil and gas transportation industry. In recent years,
more and more pipeline damages and breakdowns are caused by corrosion, which hurts the …

A novel fractional structural adaptive grey Chebyshev polynomial Bernoulli model and its application in forecasting renewable energy production of China

Y Wang, R Nie, P Chi, X Ma, W Wu, B Guo, X He… - Expert Systems with …, 2022 - Elsevier
Accurate mid-to-long term China's renewable energy forecasting is becoming more and
more important for integrating renewable energy systems with smart grid and energy …

Daily natural gas consumption forecasting via the application of a novel hybrid model

N Wei, C Li, X Peng, Y Li, F Zeng - Applied Energy, 2019 - Elsevier
In daily natural gas consumption forecasting, the accuracy of forecasting models is
vulnerably affected by the noise data in historical time series. Singular spectrum analysis …

A MFO-based conformable fractional nonhomogeneous grey Bernoulli model for natural gas production and consumption forecasting

C Zheng, WZ Wu, W Xie, Q Li - Applied Soft Computing, 2021 - Elsevier
The demand for natural gas is expected to continuously increase due to its significant role in
the transition towards a low-carbon energy structure. Based on the nonhomogeneous grey …

A knowledge-enhanced graph-based temporal-spatial network for natural gas consumption prediction

J Du, J Zheng, Y Liang, B Wang, JJ Klemeš, X Lu, R Tu… - Energy, 2023 - Elsevier
The accurate prediction of natural gas consumption plays a central role in long-distance
pipeline system production and transportation planning, and it becomes even more …

A review on short‐term load forecasting models for micro‐grid application

VY Kondaiah, B Saravanan… - The Journal of …, 2022 - Wiley Online Library
Load forecasting (LF), particularly short‐term load forecasting (STLF), plays a vital role
throughout the operation of the conventional power system. The precise modelling and …

Forecasting the daily natural gas consumption with an accurate white-box model

N Wei, L Yin, C Li, C Li, C Chan, F Zeng - Energy, 2021 - Elsevier
Compared with artificial intelligence black-box models, statistical white-box models have
less application and lower accuracy in forecasting daily natural gas consumption that …