Uncovering the impact of the COVID-19 pandemic on energy consumption: New insight from difference between pandemic-free scenario and actual electricity consumption in China

What does the China’s economic recovery after COVID-19 pandemic mean for the economic growth and energy consumption of other countries?

(2021) Qiang Wang et al.   JOURNAL OF CLEANER PRODUCTION

Hydroelectricity consumption forecast for Pakistan using ARIMA modeling and supply-demand analysis for the year 2030

(2020) Rehan Jamil   RENEWABLE ENERGY

An artificial neural network-based forecasting model of energy-related time series for electrical grid management

(2020) A. Di Piazza et al.   MATHEMATICS AND COMPUTERS IN SIMULATION

Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month forecast the casualties cases of COVID-19

(2020) Sarbjit Singh et al.   CHAOS SOLITONS & FRACTALS

A preliminary assessment of the impact of COVID-19 on environment – A case study of China

(2020) Qiang Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Impact of the global financial crisis on the crude oil market

(2020) Kyohun Joo et al.   Energy Strategy Reviews

Time-series modeling of fishery landings in the Colombian Pacific Ocean using an ARIMA model

(2020) John Josephraj Selvaraj et al.   Regional Studies in Marine Science

Design of experiments using artificial neural network ensemble for photovoltaic generation forecasting

(2020) M.O. Moreira et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Preventing carbon emission retaliatory rebound post-COVID-19 requires expanding free trade and improving energy efficiency

(2020) Qiang Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

India's dependence on foreign oil will exceed 90% around 2025 - The forecasting results based on two hybridized NMGM-ARIMA and NMGM-BP models

(2019) Shuyu Li et al.   JOURNAL OF CLEANER PRODUCTION

Improvement of time forecasting models using a novel hybridization of bootstrap and double bootstrap artificial neural networks

(2019) Nurul Hila Zainuddin et al.   APPLIED SOFT COMPUTING

Joint bagged-boosted artificial neural networks: Using ensemble machine learning to improve short-term electricity load forecasting

(2019) A.S. Khwaja et al.   ELECTRIC POWER SYSTEMS RESEARCH

Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

(2018) Mohanad S. Al-Musaylh et al.   ADVANCED ENGINEERING INFORMATICS

Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods

(2018) Erick Meira de Oliveira et al.   ENERGY

Predicting solar energy generation through artificial neural networks using weather forecasts for microgrid control

(2018) Fermín Rodríguez et al.   RENEWABLE ENERGY

Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques

(2018) Qiang Wang et al.   ENERGY

A novel hybridization of nonlinear grey model and linear ARIMA residual correction for forecasting U.S. shale oil production

(2018) Qiang Wang et al.   ENERGY

A study on chaos in crude oil markets before and after 2008 international financial crisis

(2017) Salim Lahmiri   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Price relationships between crude oil and transport fuels in the European Union before and after the 2008 financial crisis

(2017) Victor Moutinho et al.   Utilities Policy

Forecasting energy consumption using ensemble ARIMA–ANFIS hybrid algorithm

(2016) Sasan Barak et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Multifractal analysis of Asian markets during 2007–2008 financial crisis

(2015) Rashid Hasan et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Optimum estimation and forecasting of renewable energy consumption by artificial neural networks

(2013) A. Azadeh et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

The impact on chinese economic growth and energy consumption of the Global Financial Crisis: An input–output analysis

(2010) Chaoqing Yuan et al.   ENERGY

Predicting fuelwood prices in Greece with the use of ARIMA models, artificial neural networks and a hybrid ARIMA–ANN model

(2009) Theodoros Koutroumanidis et al.   ENERGY POLICY

Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption

(2008) Alberto Hernandez Neto et al.   ENERGY AND BUILDINGS

Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks

(2007) Raúl Pino et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE