Short-Term Load Forecasting Using Hybrid ARIMA and Artificial Neural Network Model

Rahul Singhal; Niraj Kumar Choudhary; Nitin Singh

doi:10.1007/978-981-32-9775-3_83

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Short-Term Load Forecasting Using Hybrid ARIMA and Artificial Neural Network Model

Rahul Singhal Niraj Kumar Choudhary Nitin Singh

Year: 2019 Lecture notes in electrical engineering Pages: 935-947 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-32-9775-3_83

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Keywords:

Autoregressive integrated moving average Artificial neural network Term (time) Nonlinear system Electric power system Computer science Reliability (semiconductor) Scheduling (production processes) Autoregressive model Power (physics) Engineering Time series Mathematical optimization Econometrics Artificial intelligence Machine learning Mathematics Operations management

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Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Electric Power System Optimization

Physical Sciences → Engineering → Electrical and Electronic Engineering

Solar Radiation and Photovoltaics

Physical Sciences → Computer Science → Artificial Intelligence

Short-Term Load Forecasting Using Hybrid ARIMA and Artificial Neural Network Model

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Short-term load forecasting using artificial neural network