TY - GEN
T1 - An ensemble learning approach on Indonesian wind speed regression
AU - Al-Ash, Herley Shaori
AU - Putri, Mutia Fadhila
AU - Arymurthy, Aniati Murni
AU - Bustamam, Alhadi
PY - 2019/7/1
Y1 - 2019/7/1
N2 - As the need of a clean and sufficient electrical power such as generated by wind power has become one of the national goals stated by the Indonesian government, great research interest has been shown towards renewable and energy resources. One of the most vital factors determining the location of wind turbine power installation is the wind speed within a particular area. In this research, wind speed regression using several regressors was performed. Among all of the regressors, AdaBoost regressor presents a significant result by scoring 0.19 as the smallest average mean square value compare to other regressors. The further result yields that AdaBoost regressor acceptable performance occurred at Sulawesi island confirming the wind power generator construction in Sulawesi island was the right decision.
AB - As the need of a clean and sufficient electrical power such as generated by wind power has become one of the national goals stated by the Indonesian government, great research interest has been shown towards renewable and energy resources. One of the most vital factors determining the location of wind turbine power installation is the wind speed within a particular area. In this research, wind speed regression using several regressors was performed. Among all of the regressors, AdaBoost regressor presents a significant result by scoring 0.19 as the smallest average mean square value compare to other regressors. The further result yields that AdaBoost regressor acceptable performance occurred at Sulawesi island confirming the wind power generator construction in Sulawesi island was the right decision.
KW - Big data
KW - Ensemble learning
KW - Indonesian wind speed regression
UR - http://www.scopus.com/inward/record.url?scp=85073498251&partnerID=8YFLogxK
U2 - 10.1109/ICTS.2019.8850994
DO - 10.1109/ICTS.2019.8850994
M3 - Conference contribution
T3 - Proceedings of 2019 International Conference on Information and Communication Technology and Systems, ICTS 2019
SP - 76
EP - 80
BT - Proceedings of 2019 International Conference on Information and Communication Technology and Systems, ICTS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on Information and Communication Technology and Systems, ICTS 2019
Y2 - 18 July 2019
ER -
