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Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model.

S. Ghimire, R. Deo, D. Casillas-Pérez, S. Salcedo-Sanz, S. Pourmousavi, and U. Acharya. Eng. Appl. Artif. Intell., (2024)

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Issam S Ali

ali

S Danischewski

S Hüttelmaier

S Leopold

Other publications of authors with the same name

Real-time central demand response for primary frequency regulation in microgrids.S. Pourmousavi, and M. Nehrir. ISGT, page 1. IEEE, (2013)BSS sizing and economic benefit analysis in grid-scale application.S. Mohan, A. Hooshmand, S. Pourmousavi, and R. Sharma. ISGT, page 1-5. IEEE, (2016)Multi-Timescale Power Management for Islanded Microgrids Including Storage and Demand Response.S. Pourmousavi, M. Nehrir, and R. Sharma. IEEE Trans. Smart Grid, 6 (3): 1185-1195 (2015)On the Financial Consequences of Simplified Battery Sizing Models without Considering Operational Details.N. Dinh, S. Karimi-Arpanahi, S. Pourmousavi, M. Guo, J. Lemos-Vinasco, and J. Liisberg. CoRR, (2023)IRMAC: Interpretable Refined Motifs and Binary Classification for Rooftops PV Owners.R. Yuan, S. Pourmousavi, W. Soong, G. Nguyen, and J. Liisberg. CoRR, (2021)Optimal offering strategy for an aggregator across multiple products of European day-ahead market.Y. Kumar, S. Pourmousavi, M. Wagner, and J. Liisberg. ISGT-Europe, page 1-6. IEEE, (2022)Optimal sizing and scheduling of community battery storage within a local market.N. Dinh, S. Pourmousavi, S. Karimi-Arpanahi, Y. Kumar, M. Guo, D. Abbott, and J. Liisberg. e-Energy, page 34-46. ACM, (2022)Efficient anomaly detection method for rooftop PV systems using big data and permutation entropy.S. Karimi-Arpanahi, and S. Pourmousavi. CoRR, (2023)Real-Time Demand Response Through Aggregate Electric Water Heaters for Load Shifting and Balancing Wind Generation.S. Pourmousavi, S. Patrick, and M. Nehrir. IEEE Trans. Smart Grid, 5 (2): 769-778 (2014)A framework for real-time power management of a grid-tied microgrid to extend battery lifetime and reduce cost of energy.S. Pourmousavi, R. Sharma, and B. Asghari. ISGT, page 1-8. IEEE, (2012)

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Disambiguation of "Pourmousavi, S. Ali"

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Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model.

Please choose a person to relate this publication to

Issam S Ali

ali

S Danischewski

S Hüttelmaier

S Leopold

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Pourmousavi, S. Ali"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model.

Please choose a person to relate this publication to

Issam S Ali

ali

S Danischewski

S Hüttelmaier

S Leopold

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model.