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Cited article:
Kamal Chapagain , Somsak Kittipiyakul
MATEC Web of Conferences, 55 (2016) 06003
Published online: 2016-04-25
This article has been cited by the following article(s):
16 articles
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Short-Term Electricity Demand Forecasting Using Deep Neural Networks: An Analysis for Thai Data
Kamal Chapagain, Samundra Gurung, Pisut Kulthanavit and Somsak Kittipiyakul Applied System Innovation 6 (6) 100 (2023) https://doi.org/10.3390/asi6060100
A Review of Auto-Regressive Methods Applications to Short-Term Demand Forecasting in Power Systems
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Forecasting Short-Term Electricity Load Using Validated Ensemble Learning
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Short-Term Electricity Demand Forecasting: Impact Analysis of Temperature for Thailand
Kamal Chapagain, Somsak Kittipiyakul and Pisut Kulthanavit Energies 13 (10) 2498 (2020) https://doi.org/10.3390/en13102498
Kamal Chapagain, Somsak Kittipiyakul and Pisut Kulthanavit 1 (2019) https://doi.org/10.1109/ITC-CSCC.2019.8793330
A Multi-Step Approach to Modeling the 24-hour Daily Profiles of Electricity Load using Daily Splines
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Performance Analysis of Short-Term Electricity Demand with Atmospheric Variables
Kamal Chapagain and Somsak Kittipiyakul Energies 11 (4) 818 (2018) https://doi.org/10.3390/en11040818
Kamal Chapagain and Somsak Kittipiyakul 521 (2018) https://doi.org/10.1109/ECTICon.2018.8619930
Kamal Chapagain and Somsak Kittipiyakul 1 (2018) https://doi.org/10.1109/IEECON.2018.8712189
Kamal Chapagain, Tomonori Sato and Somsak Kittipiyakul 330 (2017) https://doi.org/10.1109/ECTICon.2017.8096240