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Cited by 500

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Short-Term Load Forecasting Using General Exponential Smoothing

Christiaanse, W.·1971·IEEE Transactions on Power Apparatus and Systems

Abstract

An essential component of a comprehensive, real-time control center for power systems is a method for the calculation of short-term load forecasts. This paper explores the use of general exponential smoothing to develop an adaptive forecasting system based on observed values of integrated hourly demand. A model is developed which offers high accuracy and operational simplicity. Forecasts of hourly MWH load with lead times of one to twenty-four hours are computed at hourly intervals throughout the week. A pragmatic viewpoint is maintained throughout the paper, which includes an analysis of two years of hourly load data, test results for the method developed, and discussions of adjustments for holidays and weather disturbances.

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Metadata

Authors
Christiaanse, W.
Venue
IEEE Transactions on Power Apparatus and Systems
Published
1971-03
Volume
PAS-90
Issue
2
Pages
900-911
ISSN
0018-9510 (ISSN-L)
OpenAlex
W2076163358
Cited by
500
References
1
FWCI
3.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Short-Term Load Forecasting Using General Exponential Smoothing. https://app.cochat.ai/papers/10.1109/tpas.1971.293123
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Christiaanse, W. (1971). Short-Term Load Forecasting Using General Exponential Smoothing. IEEE Transactions on Power Apparatus and Systems. https://doi.org/10.1109/tpas.1971.293123

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.