TY - GEN
T1 - Deep Learning Based Short- Term Load Forecasting for Urban Areas
AU - Maksut, M.
AU - Karbozov, A.
AU - Myrzaliyeva, M.
AU - Nunna, H. S.V.S.Kumar
AU - Jamwal, Prashant K.
AU - Doolla, Suryanarayana
PY - 2019/9
Y1 - 2019/9
N2 - This paper proposes a short-term load forecasting for residential applications. Deep learning is considered to be a powerful method in forecasting electricity load. As the present state of deep learning is still in progress, new updates towards improving the accuracy of the load forecasting are significantly important. Therefore, this paper proposes a restricted Boltzmann pre-training method and a rectifier linear unit method to enhance the current structure of Deep Neural Network (DNN) method. Moreover, making a priority list of factors that influence residential electricity consumption based on a location (London) is performed and analyzed in the paper.
AB - This paper proposes a short-term load forecasting for residential applications. Deep learning is considered to be a powerful method in forecasting electricity load. As the present state of deep learning is still in progress, new updates towards improving the accuracy of the load forecasting are significantly important. Therefore, this paper proposes a restricted Boltzmann pre-training method and a rectifier linear unit method to enhance the current structure of Deep Neural Network (DNN) method. Moreover, making a priority list of factors that influence residential electricity consumption based on a location (London) is performed and analyzed in the paper.
KW - Artificial Neural Network (ANN)
KW - Deep Neural Network (DNN)
KW - Rectifier Linear Unit (ReLU)
KW - restricted Boltzmann machine pre-training
KW - Short term load forecasting (STLF)
UR - http://www.scopus.com/inward/record.url?scp=85076723462&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85076723462&partnerID=8YFLogxK
U2 - 10.1109/IAS.2019.8912321
DO - 10.1109/IAS.2019.8912321
M3 - Conference contribution
AN - SCOPUS:85076723462
T3 - 2019 IEEE Industry Applications Society Annual Meeting, IAS 2019
BT - 2019 IEEE Industry Applications Society Annual Meeting, IAS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE Industry Applications Society Annual Meeting, IAS 2019
Y2 - 29 September 2019 through 3 October 2019
ER -