Electricity Demand Forecasting Using Neural Networks

Sukhvinder Singh Panesar; Wenija Wang

doi:10.1007/978-3-540-45080-1_114

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Electricity Demand Forecasting Using Neural Networks

Sukhvinder Singh Panesar Wenija Wang

Year: 2003 Lecture notes in computer science Pages: 826-834 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-540-45080-1_114

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Keywords:

Computer science Benchmark (surveying) Electricity Artificial neural network Demand forecasting Regression Regression analysis Electric power system Data mining Artificial intelligence Machine learning Operations research Power (physics) Statistics Engineering

Metrics

Cited By

0.73

FWCI (Field Weighted Citation Impact)

Refs

0.81

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Forecasting Techniques and Applications

Social Sciences → Decision Sciences → Management Science and Operations Research

Energy Efficiency and Management

Physical Sciences → Energy → Renewable Energy, Sustainability and the Environment

Electricity Demand Forecasting Using Neural Networks

Metrics

Topics

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