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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 5 | Month- May 2024
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Paper Title
SMART ELECTRICITY DEMAND FORECASTING BY USING HYBRID ARIMA WITH LSTM ALGORITHM
Authors
K.Rajakali, C.Brindha, S.Siva Kumar, G.Pandiya Rajan
Keywords
LSTM, ARIMA, Hybrid ARIMA, Deep Learning, forecast, energy demand
Abstract
For the operation and administration of power systems, demand forecasting, or the projection of future energy demand, is required. Power supply and demand conflicts can be alleviated with effective electricity demand forecasting. Furthermore, accurate load forecasting may help power plants operate more efficiently while also ensuring grid safety. A drop of a few percentage points in forecast accuracy, it is believed, would have a considerable cost impact on enterprises competing in highly competitive power markets. We will use a Deep learning algorithm named Improved in our project to estimate power consumption. We can obtain accurate future predicted output by utilising improved hybrid ARIMA with LSTM.
IJCRT's Publication Details
Unique Identification Number - IJCRT2205290
Paper ID - 219678
Page Number(s) - c608-c615
Pubished in - Volume 10 | Issue 5 | May 2022
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
K.Rajakali, C.Brindha, S.Siva Kumar, G.Pandiya Rajan, "SMART ELECTRICITY DEMAND FORECASTING BY USING HYBRID ARIMA WITH LSTM ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 5, pp.c608-c615, May 2022, Available at :http://www.ijcrt.org/papers/IJCRT2205290.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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