A comparative assessment of SARIMA, LSTM RNN and Fb Prophet models to forecast total and peak monthly energy demand for India

Short-Term Electricity Consumption Forecasting Based on the EMD-Fbprophet-LSTM Method

(2021) Guorong Zhu et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

An optimized model using LSTM network for demand forecasting

(2020) Hossein Abbasimehr et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A Hybrid Neural Network Model for Power Demand Forecasting

(2019) Myoungsoo Kim et al.   Energies

Deep learning framework to forecast electricity demand

(2019) Jatin Bedi et al.   APPLIED ENERGY

Forecasting India’s Electricity Demand Using a Range of Probabilistic Methods

(2019) Yeqi An et al.   Energies

Short-Term Electricity Demand Forecasting Using ComponentsEstimation Technique

(2019) Ismail Shah et al.   Energies

Predicting residential energy consumption using CNN-LSTM neural networks

(2019) Tae-Young Kim et al.   ENERGY

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

A High Precision Artificial Neural Networks Model for Short-Term Energy Load Forecasting

(2018) Ping-Huan Kuo et al.   Energies

Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions

(2018) Seyedeh Fallah et al.   Energies

Neural network based optimization approach for energy demand prediction in smart grid

(2018) K. Muralitharan et al.   NEUROCOMPUTING

Utility companies strategy for short-term energy demand forecasting using machine learning based models

(2018) Tanveer Ahmad et al.   Sustainable Cities and Society

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

Combination Forecasting of Energy Demand in the UK

(2018) Marco Barassi et al.   ENERGY JOURNAL

An Integrated Modeling Approach for Forecasting Long-Term Energy Demand in Pakistan

(2017) Syed Rehman et al.   Energies

Forecasting of Turkey’s monthly electricity demand by seasonal artificial neural network

(2017) Coşkun Hamzaçebi et al.   NEURAL COMPUTING & APPLICATIONS

A review on time series forecasting techniques for building energy consumption

(2017) Chirag Deb et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

(2016) Mustafa Akpinar et al.   Energies

Neural network approach with teaching–learning-based optimization for modeling and forecasting long-term electric energy demand in Turkey

(2016) Murat Kankal et al.   NEURAL COMPUTING & APPLICATIONS

Forecasting of natural gas consumption with artificial neural networks

(2015) Jolanta Szoplik   ENERGY

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

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

Application of residual modification approach in seasonal ARIMA for electricity demand forecasting: A case study of China

(2012) Yuanyuan Wang et al.   ENERGY POLICY

Forecasting monthly peak demand of electricity in India—A critique

(2012) Srinivasa Rao Rallapalli et al.   ENERGY POLICY

Energy models for demand forecasting—A review

(2011) L. Suganthi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Time series models (Grey-Markov, Grey Model with rolling mechanism and singular spectrum analysis) to forecast energy consumption in India

(2010) Ujjwal Kumar et al.   ENERGY

Greek long-term energy consumption prediction using artificial neural networks

(2009) L. Ekonomou   ENERGY