Natural gas consumption forecasting technology has been researched for 70 years. This
paper reviews the history of natural gas consumption forecasting, and discusses the …

Natural gas is a fossil fuel that has been widely used for various purposes, including
residential and industrial applications. The combustion of natural gas, despite being more …

Power-to-gas (PtG) energy storage converts electricity to hydrogen or synthetic natural gas.
The gas produced is stored and converted back to electricity at a later time; or it is directly …

Deep neural networks are proposed for short-term natural gas load forecasting. Deep
learning has proven to be a powerful tool for many classification problems seeing significant …

This paper introduces a probabilistic approach to anomaly detection, specifically in natural
gas time series data. In the natural gas field, there are various types of anomalies, each of …

Natural gas demand forecasting is one of the most crucial steps in the proper planning and
operation of natural gas supply systems. The demand and supply of natural gas must be …

Anomalous data can negatively impact energy forecasting by causing model parameters to
be incorrectly estimated. This paper presents two approaches for the detection and …

In natural gas transmission networks, the efficiency of daily operation is strongly dependent
on our knowledge about the customer future demands. Unavailability of accurate demand …

Forecasting natural gas demand and supply is essential for an efficient operation of the
German gas distribution system and a basis for the operational decisions of the transmission …

Dispatchable, reliable, and clean energy is essential for sustained economic growth and a
better future. This study develops a novel technique of empirical wavelet transform (EWT) to …