Medium term electricity price forecasting using extreme learning machine

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PARHIZKARI LADAN; NAJAFI ARSALAN; GOLSHAN MAHDI

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Journal Paper

Paper Information

Journal: JOURNAL OF ENERGY MANAGEMENT AND TECHNOLOGY Year:2020 | Volume:4 | Issue:2 Page(s): 20-27

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Title

Medium term electricity price forecasting using extreme learning machine

Author(s)

PARHIZKARI LADAN | NAJAFI ARSALAN | GOLSHAN MAHDI | Issue Writer Certificate

Keywords

Electricity price

Forecasting

Time series

Extreme machine learning

Abstract

Accurate Electricity price Forecasting gives a capability to make better decisions in the electricity market environment when this market is complicated due to severe ﬂ uctuations. The main purpose of a prediction model is to forecast future prices. For doing this, the predicted variable (as output) and historical data (as input) should be close to each other. Machine learning is known as one of the most successful ways of Forecasting Time series. Extreme learning machine (ELM) is a feed-forward neural network with one hidden layer. Hence, in this paper, an extreme learning machine has been used for predicting Electricity prices in a medium-term time horizon. The real data of New York City electricity market has been utilized to simulate and predict the Electricity price in four seasons of the year. Finally, the ﬁ ndings are compared with multi-layer perceptron (MLP) results, which prove the efﬁ ciency of the model.

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APA: Copy

PARHIZKARI, LADAN, NAJAFI, ARSALAN, & GOLSHAN, MAHDI. (2020). Medium term electricity price forecasting using extreme learning machine. JOURNAL OF ENERGY MANAGEMENT AND TECHNOLOGY, 4(2), 20-27. SID. https://sid.ir/paper/973995/en

Vancouver: Copy

PARHIZKARI LADAN, NAJAFI ARSALAN, GOLSHAN MAHDI. Medium term electricity price forecasting using extreme learning machine. JOURNAL OF ENERGY MANAGEMENT AND TECHNOLOGY[Internet]. 2020;4(2):20-27. Available from: https://sid.ir/paper/973995/en

IEEE: Copy

LADAN PARHIZKARI, ARSALAN NAJAFI, and MAHDI GOLSHAN, “Medium term electricity price forecasting using extreme learning machine,” JOURNAL OF ENERGY MANAGEMENT AND TECHNOLOGY, vol. 4, no. 2, pp. 20–27, 2020, [Online]. Available: https://sid.ir/paper/973995/en

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