Comparative analysis of deep learning and classical time series methods to forecast natural gas demand during COVID-19 pandemic

Urban natural gas consumption forecasting by novel wavelet-kernelized grey system model

(2023) Xin Ma et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A residual driven ensemble machine learning approach for forecasting natural gas prices: analyses for pre-and during-COVID-19 phases

(2022) Rabin K. Jana et al.   ANNALS OF OPERATIONS RESEARCH

Indirect Impact of the COVID-19 Pandemic on Natural Gas Consumption by Commercial Consumers in a Selected City in Poland

(2022) Tomasz Cieślik et al.   Energies

Daily Streamflow Forecasting Based on the Hybrid Particle Swarm Optimization and Long Short-Term Memory Model in the Orontes Basin

(2022) Huseyin Cagan Kilinc   Water

A time series forecasting analysis of overall and sector-based natural gas demand: a developing South Asian economy case

(2022) Anwar Hussain et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Discovering Parametric Activation Functions

(2022) Garrett Bingham et al.   NEURAL NETWORKS

Forecasting monthly gas field production based on the CNN-LSTM model

(2022) Wenshu Zha et al.   ENERGY

Design and development of Residential Sector Load Prediction model during COVID-19 Pandemic using LSTM based RNN

(2022) A. Ajitha et al.   ELECTRIC POWER SYSTEMS RESEARCH

Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal autoregressive Integrated moving average (SARIMA) for forecasting COVID-19 trends

(2022) K.E. ArunKumar et al.   Alexandria Engineering Journal

Forecasting domestic waste generation during successive COVID-19 lockdowns by Bidirectional LSTM super learner neural network

(2022) Majeed S. Jassim et al.   APPLIED SOFT COMPUTING

Natural Gas Price Forecasting by a New Hybrid Model Combining Quadratic Decomposition Technology and LSTM Model

(2022) Linjie Zhan et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Forecasting annual natural gas consumption in USA: Application of machine learning techniques- ANN and SVM

(2022) Sanjeet Singh et al.   RESOURCES POLICY

Energy Market Prices in Times of COVID-19: The Case of Electricity and Natural Gas in Spain

(2021) Luis M. Abadie   Energies

The impact of COVID ‐19 on the electricity demand: a case study for Turkey

(2021) Zeynep Ceylan   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Post‐COVID ‐19 and globalization of oil and natural gas trade: Challenges, opportunities, lessons, regulations, and strategies

(2021) Nima Norouzi   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Adaptive global kernel interval SVR-based machine learning for accelerated dielectric constant prediction of polymer-based dielectric energy storage

(2021) Yong Yi et al.   RENEWABLE ENERGY

Impacts of COVID-19 pandemic on the global energy system and the shift progress to renewable energy: Opportunities, challenges, and policy implications

(2021) Anh Tuan Hoang et al.   ENERGY POLICY

Deep learning through LSTM classification and regression for transmission line fault detection, diagnosis and location in large-scale multi-machine power systems

(2021) Soufiane Belagoune et al.   MEASUREMENT

Predictive analysis of the number of human brucellosis cases in Xinjiang, China

(2021) Yanling Zheng et al.   Scientific Reports

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

(2021) Jinyuan Liu et al.   Journal of Natural Gas Science and Engineering

Day-ahead city natural gas load forecasting based on decomposition-fusion technique and diversified ensemble learning model

(2021) Fengyun Li et al.   APPLIED ENERGY

A combination model based on wavelet transform for predicting the difference between monthly natural gas production and consumption of U.S.

(2021) Weibiao Qiao et al.   ENERGY

Prediction of heating energy consumption with operation pattern variables for non-residential buildings using LSTM networks

(2021) Jihoon Jang et al.   ENERGY AND BUILDINGS

Impact of the COVID-19 lockdowns on electricity and natural gas consumption in the different industrial zones and forecasting consumption amounts: Turkey case study

(2021) Pınar Cihan   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Impact of Lockdowns and Winter Temperatures on Natural Gas Consumption in Europe

(2021) Philippe Ciais et al.   Earths Future

Assessment of deep learning and classical statistical methods on forecasting hourly natural gas demand at multiple sites in Spain

(2021) Aniqa Rehman et al.   ENERGY

Estimation of COVID-19 prevalence in Italy, Spain, and France

(2020) Zeynep Ceylan   SCIENCE OF THE TOTAL ENVIRONMENT

Prediction of medical waste generation using SVR, GM (1,1) and ARIMA models: a case study for megacity Istanbul

(2020) Zeynep Ceylan et al.   Journal of Environmental Health Science and Engineering

Comparative analysis and forecasting of COVID-19 cases in various European countries with ARIMA, NARNN and LSTM approaches

(2020) İsmail Kırbaş et al.   CHAOS SOLITONS & FRACTALS

Energy Prices and COVID-Immunity: The Case of Crude Oil and Natural Gas Prices in the US and Japan

(2020) Honorata Nyga-Łukaszewska et al.   Energies

An EMD-SVR model for short-term prediction of ship motion using mirror symmetry and SVR algorithms to eliminate EMD boundary effect

(2020) Zhihong Nie et al.   OCEAN ENGINEERING

Short-term natural gas consumption forecasting from long-term data collection

(2020) Radek Svoboda et al.   ENERGY

Forecasting of municipal solid waste generation using non-linear autoregressive (NAR) neural models

(2020) Sunayana et al.   WASTE MANAGEMENT

Year Ahead Demand Forecast of City Natural Gas Using Seasonal Time Series Methods

(2016) Mustafa Akpinar et al.   Energies

An Application of Non-Linear Autoregressive Neural Networks to Predict Energy Consumption in Public Buildings

(2016) Luis Ruiz et al.   Energies

Comparison of static and adaptive models for short-term residential natural gas forecasting in Croatia

(2014) Primož Potočnik et al.   APPLIED ENERGY

A MLP neural network as an investigator of TEC time series to detect seismo-ionospheric anomalies

(2013) M. Akhoondzadeh   ADVANCES IN SPACE RESEARCH