Short term electric load prediction based on deep neural network and wavelet transform and input selection

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KEYNIA FARSHID; MEMARZADEH GHOLAMREZA

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Paper Information

Journal: IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP) Year:2019 | Volume:8 | Issue:2 (16) Page(s): 65-74

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Title

Short term electric load prediction based on deep neural network and wavelet transform and input selection

Author(s)

KEYNIA FARSHID | MEMARZADEH GHOLAMREZA | Issue Writer Certificate

Keywords

Load predictionQ2

deep neural networkQ1

wavelet transformQ2

input selectionQ1

entropyQ2

Abstract

Electricity demand forecasting is one of the most important factors in the planning, design, and operation of competitive electrical systems. However, most of the load forecasting methods are not accurate. Therefore, in order to increase the accuracy of the short-term electrical load forecast, this paper proposes a hybrid method for predicting electric load based on a deep neural network with a wavelet transform and input selection. Based on the entropy function. Also, in order to demonstrate the strength of the proposed method, the PJM electricity market and one of the Kerman substations load data in 1395 were used and the results of which emphasized the efficiency of the proposed method in predicting the electric load for production planning And distribution.

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APA: Copy

KEYNIA, FARSHID, & MEMARZADEH, GHOLAMREZA. (2019). Short term electric load prediction based on deep neural network and wavelet transform and input selection. IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP), 8(2 (16) ), 65-74. SID. https://sid.ir/paper/226144/en

Vancouver: Copy

KEYNIA FARSHID, MEMARZADEH GHOLAMREZA. Short term electric load prediction based on deep neural network and wavelet transform and input selection. IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP)[Internet]. 2019;8(2 (16) ):65-74. Available from: https://sid.ir/paper/226144/en

IEEE: Copy

FARSHID KEYNIA, and GHOLAMREZA MEMARZADEH, “Short term electric load prediction based on deep neural network and wavelet transform and input selection,” IRANIAN ELECTRIC INDUSTRY JOURNAL OF QUALITY AND PRODUCTIVITY (IEIJQP), vol. 8, no. 2 (16) , pp. 65–74, 2019, [Online]. Available: https://sid.ir/paper/226144/en

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