A Study of a Next Day Electric Load Curve Forecasting Method and its Accuracy Improvement
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- Miyata Hisatomo
- CHUBU Electric Power Co., Inc.
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- Miyashita Kazutoshi
- CHUBU Electric Power Co., Inc.
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- Endo Takayuki
- CHUBU Electric Power Co., Inc.
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- Shimasaki Yuichi
- Corporate Technology Development Office, Fuji Electric Co., Ltd.
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- Iizaka Tatsuya
- Corporate Technology Development Office, Fuji Electric Co., Ltd.
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- Katsuno Toru
- Corporate Technology Development Office, Fuji Electric Co., Ltd.
Bibliographic Information
- Other Title
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- 翌日需要曲線予測手法と精度向上の検討
- ヨクジツ ジュヨウ キョクセン ヨソク シュホウ ト セイド コウジョウ ノ ケントウ
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Abstract
This paper presents a result of study for a next day electric load curve forecasting method and its accuracy improvement. Electric load curve forecasting is one of the most important tasks for insuring reliability and economic electric power supply. Because start-stop time of generators is decided using the load curve forecasting. This paper proposes three methods. First one is a new structure of forecasting models. It consists of single-output neural networks and a multi-output neural network. Second one corrects load curve using the operation information of commercial-scale utility customers. Last one selects the accuracy forecasting models adaptively using recent forecasting error. Input data of each forecasting model is different type of weather information. The simulation results reveal the effectiveness of the proposed methods for a next day electric load curve forecasting.
Journal
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- IEEJ Transactions on Power and Energy
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IEEJ Transactions on Power and Energy 134 (1), 9-15, 2014
The Institute of Electrical Engineers of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390001204601194496
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- NII Article ID
- 130003382912
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- NII Book ID
- AN10136334
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- ISSN
- 13488147
- 03854213
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- NDL BIB ID
- 025164903
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed