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Journal : Bulletin of Electrical Engineering and Informatics

Comparison of Solar Radiation Intensity Forecasting Using ANFIS and Multiple Linear Regression Methods Hadi Suyono; Rini Nur Hasanah; R. A. Setyawan; Panca Mudjirahardjo; Anthony Wijoyo; Ismail Musirin
Bulletin of Electrical Engineering and Informatics Vol 7, No 2: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (659.58 KB) | DOI: 10.11591/eei.v7i2.1178

Abstract

Solar radiation forecasting is important in solar energy power plants (SEPPs) development. The electrical energy generated from the sunlight depends on the weather and climate conditions in the area where the SEPPs are installed. The condition of solar irradiation will indirectly affect the electrical grid system into which the SEPPs are injected, i.e. the amount and direction of the power flow, voltage, frequency, and also the dynamic state of the system. Therefore, the prediction of solar radiation condition is very crucial to identify its impact into the system. There are many methods in determining the prediction of solar radiation, either by mathematical approach or by heuristic approach such as artificial intelligent method. This paper analyzes the comparison of two methods, Adaptive Neuro Fuzzy Inference (ANFIS) method, which belongs into the heuristic methods, and Multiple Linear Regression (MLP) method, which uses a mathematical approach. The performance of both methods is measured using the root mean square error (RMSE) and the mean absolute error (MAE) values. The data of the Swiss Basel city from Meteoblue are used to test the performance of the two methods being compared. The data are divided into four cases, being classified as the training data and the data used as predictions. The solar radiation prediction using the ANFIS method indicates the results which are closer to the real measurement results, being compared to the the use MLP method. The average values of RMSE and MAE achieved are 123.27 W/m2 and 90.91 W/m2 using the ANFIS method, being compared to 138.70 W/m2 and 101.56 W/m2 respectively using the MLP method. The ANFIS method gives better prediction performance of 12.51% for RMSE and 11.71% for MAE with respect to the use of the MLP method.
Co-Authors Abd. Rasyid Syamsuri Abraham Latumahina Abraham Lomi Achmad Yahya Chasanuddin Adharul Muttaqin Adhi Purbo Putranto Agam Rido Priawan Ahmad Fadly Irawan Ahmad Faisol Ahmad Fajar Robiyanto Ahmad Hadid Muntaha Ahmad Reza Yahya Aji Rizky Hakim Alan Stevrie Balantimuhe Alfian Nur Ferdianzah Alfian Sakti Pamungkas Amrizal Karim Amrulloh Anargya Widyatma Anthony Wijoyo Anthony Wijoyo Ardiyallah Akbar Arnold J. Kastanja Aswin, Muhammad Aulia, Fitrah Bambang Siswojo Boby Satriya Nugraha Budi Agung Raharjo Chandra Wiharya Cita Rahiim Tama Dheo Kristianto Dhofir, Mochammad Dicky Indratama Dikma Hartanjung Dimas Mudya Permadi Dimas Nofiantoro Dinda Oki Prabawanti Dwi Cahya Ramadhan Dwi Indra Kusumah Eko Kuncoro Engga Kusumayoga Erlangga Dinda Permana Erwin Hery Setiyawan Fairuz Milkiy Kuswa Faiz Yusky Ahlian Fajariyah Mulyani Fauzan, Vito Faza Azmi Hidayat Fitriana Suhartati Gahara, Ahda Galuh Prawestri Citra Handani Gatut Yulisusianto Hafidh Fadhlir Rahman Hakim, Luqman Halomoan Marthin Muskita Hari Santoso Harry Soekotjo Dachlan HARRY SOEKOTJO DACHLAN Hasanah, Rini Nur Hasmaini Mohamad Hatorangan, Orlando Hazlie Mokhlis Helmy Mukti Himawan Hendra Sumitro Sinurat Hery Purnomo I Kadek Adi Satya Putra Ibadi Mulyatama Iksan , Santoso Ilham Ramadhan Maulana Imam Suwandi Indah Permata Sari Safti Indratama, Dicky Indri Kusuma Dewi Ismail Musirin Ismail Musirin Ismail Musirin Jasri Kariadi Ginting Johanis Tupalessy Kevin Rachman Firdaus Khusnul Hidayat Kosa Shantia Laksono, Mico Norman Lilik J. Awalin Liza Putri Dafroni Lukman Hakim Lunde Ardhenta Luthfan Akbar Azizan Firdaos M Fauzan Edy Purnomo M. Aziz Muslim M. Fauzan Edy Purnomo M. Rif’an Mahdin Rohmatillah Mahfudz Shidiq Mahfudz Shidiq Malinda Dinna Auliya Mamdouh Abdel-Akher Marcelino Dendy Ramadhani Markus D. Letik Mas Ahmad Baihaqi Maulana, Eka Moch Fahrulrozi Moch. Dhofir Moch. Dofir Moechammad Sarosa Mohamad Khairuzzaman Mohamad Zamani Mohamad Najib Priyo Prakoso Mohamed Zellagui Mohammad Salman Abdurrohim Mu'ammar Faris L. Muammar Zainuddin Muchammad Ali Mudjirahardjo, Panca Muhamad Hazim Lokman Muhammad Arsyad Muhammad Fadillah Kurniawan Muhammad Fauzan Edy Purnomo Muhammad Ghufron Auliya Rahman Muhammad Rahmatullah Al-Qaedi Muhammad Rizky Wira Utomo Muhammad Sholikhin Muhammad Syaiful Arifin Muhammad Syarifuddin Anshor Mujib Ridwan Muslimin Muslimin n/a Soemarwanto n/a Soeprapto n/a Wijono Nadila Adza Savira Yaniar Nico Gautama Ginting Nur Vidya Ramadhani Nur Zahirah Mohd Ali Nurwati, Tri Olivia Ferlita Onny Setyawati Pristian, Candra Adha Putera, R. P. Ravie O. Mucheyz R. A. Setyawan Raden Arief Setyawan Radian Hepta Martha Hardaka Rahmadwati, n/a Rendy Hari Widodo., Hari Widodo Riko Nur Akbar Rini Nur Hasanah Rini Nur Hasanah Rini Nur Hassanah Rizki Chandra Maulana Rizki Tirta Nugraha Rizky Adhiputra Wallad Rudy Yuwono S. Irawan, Yudy Saiful Firdaus Abd Shukor Saiful Izwan Suliman Saiful Izwan Suliman Salim, Mohammad Agus Septi Uliyani Septian Kevin Aditama Sharifah Azma Syed Mustafa Sholeh Hadi Pramono Sigi Syah Wibowo Soleman Sesa Subekti, Elditya Suci Imani Putri Surya Adi Purwanto Syaiful Amri Syamsu Dhuha Tasnim Tasnim Tay Lea Tien Teguh Utomo Thoriq Kamal Septianhasri Triyudha Yusticea Sulaksono Tumpak Samosir Uliyani, Septi Unggul Wibawa Usman Nurhasan Wardana, ING Widyananda, Eka Putra Widyananda., Putra Widyatama, Anargya Wijono Wijono Wijono Wijono Wilda Faradina Wildan Alfi Syahri Wira R. A., Imantaka Wisnu Adi Suryo Yakin Gabrielsa Yamadika Okto Ahiro Yanuar Alfa Tri Susanto Yoga Candra Setyawan Yoga Prasetya Yuniar Adi Setiawan Zainuri, Akhmad Zulkifli Abd Hamid