Article Per Year (5 Year)
p-Index From 2020 - 2025
4.14
P-Index
This Author published in this journals
All Journal Rotasi Bulletin of Electrical Engineering and Informatics Journal of Mechanical Engineering Science and Technology Knowledge Engineering and Data Science Journal of Energy, Mechanical, Material and Manufacturing Engineering Journal of Electronics, Electromedical Engineering, and Medical Informatics Buletin Ilmiah Sarjana Teknik Elektro Journal of Robotics and Control (JRC) Jurnal Teknik Informatika (JUTIF) International Journal of Robotics and Control Systems Mechanical Engineering for Society and Industry Proceeding International Pelita Bangsa Journal of Environment and Sustainability Education Control Systems and Optimization Letters Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Teknokes
Wahyu Caesarendra
Dosen Jurusan Teknik Mesin, Fakultas Teknik, Universitas Diponegoro
Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation Other

Published : 33 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : International Journal of Robotics and Control Systems

 1 
Utilize the Prediction Results from the Neural Network Gate Recurrent Unit (GRU) Model to Optimize Reactive Power Usage in High-Rise Buildings Rofii, Ahmad; Soerowirdjo, Busono; Irawan, Rudi; Caesarendra, Wahyu
International Journal of Robotics and Control Systems Vol 4, No 2 (2024)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v4i2.1351

Abstract

The growing urbanization and the construction sector, efficient use of electric energy becomes important, especially the use of reactive power. If excessive use causes decreased efficiency and increased operational costs. Decreased efficiency contributes to increasing exhaust gas volumes and greenhouse emissions. Efficient energy can achieved if planning and predictions are correct. This research applies the GRU neural network method with grid search initialization as a novelty predictive model for energy-use high-rise buildings in form fast training without multiple iterations because optimal hyperparameters are obtained. Experimental show the MAE and RMSE performance metrics of the GRU better than LSTM in predicting energy consumption data peak loads, off-peak loads and reactive power. The accuracy of GRU predictions can optimize the use of energy to contribute to saving the environment from exhaust emissions and the greenhouse effect in urban systems. Experimental results demonstrate the superiority of GRU over LSTM, proof of the much lower MAE and RMSE values. This metric shows the accuracy of GRU in generalizing data both during peak and off-peak hours, as well as in reactive power usage. By Utilizing GRU's capabilities, building management can manage reactive power usage effectively, allocate reactive power resources appropriately, and mitigate peak load times and the power factor within the threshold, thus avoiding additional costs and electrical system efficiency and contributing to reducing the carbon footprint and gas emissions greenhouse. Research on GRU is widely open in the high-rise building sector, including its integration with sensors to automatically control energy use.
Co-Authors Abdullayev, Vugar Achmad Widodo Ade Silvia Handayani Agus Sudarmanto Agus Wantoro Ahmad Rofii Ahmad Taqwa Ahmed, Abdussalam Ali Alfian Ma’arif Amrinsani, Farid Anant Athavale, Vijay Andini, Dwi Yana Ayu Anita Miftahul Maghfiroh Ariesma Githa Giovany Ariswati, Her Gumiwang Aryananda, Rangga Laksana Asriyadi Asriyadi Aviv Fitria Yulia Baharsyah, Baharudin Adi Brilliant, Muhammad Zidan Busono Soerowirdjo Dewi, Deshinta Arrova Dian Setioningsih, Endang Dian Setioningsih1 Dita Musvika, Syevana Dwi Kartini Dwi Kartini, Dwi DWI RAMADHANI Dyah Titisari, Dyah Edison, Rizki Edmi Endro Yulianto Eva Yulia Puspaningrum Fadillah, Wa Ode Nurul Faikul Umam Faiza, Linda Ziyadatul Fara Disa Durry Faris, Fakhri Al Fatma Indriani Fitriana, Lutfatul Forra Wakidi, Levana Furizal, Furizal Gołdasz, Iwona Gupta, Munish Kumar Herianto Herianto Hidayat, Fathur Rachman Humairah, Sayyidah Ichwan Dwi Nugraha Ikna Awaliyani Irwan Budiman Irwan Budiman Joga Dharma Setiawan Krolczyk, Grzegorz Leni Novianti Luthfiyah, Sari Maharani, Siti Mutia Mahmood, Muhammad Azim Mahmud Mahmud MAJDOUBI, Rania Mas Diyasa, I Gede Susrama Mochammad Ariyanto Mochammad Denny Surindra Muhammad Abdillah Muhammad Fuad Muhammad Reza Faisal, Muhammad Reza Muliadi Nyayu Latifah Husni, Nyayu Latifah Pamanasari, Elta Diah Prakoso, Bagas Angger Pranoto, Kirana Astari Putri, Farika Radityo Adi Nugroho Rahardja, Dimas Revindra Rahman, M. Arief Ramadhan, Bahrurrizki Ramadhan, Yogi Reza REKIK, Chokri Rozaq, Hasri Akbar Awal Rudi Irawan Sagita, Muhamad Rian Samudra, Alan Saragih, Triando Hamonangan Seno Darmanto Septiani, Fahira Setiawan, Joga D Setiawan, Nurman Setioningsih, Endang Dian Siena, Laifansan Silvian, Fawaida Sitompul, Carlos R Sri Hastuty, Sri Sri Utami Handayani Sumarti, Heni Sumber, Sumber Suryanta, Made Dwi Pandya Suwarno, Iswanto T P, Moch Prastawa Assalim Triwiyanto , Triwiyanto Triyanna Widiyaningtyas Utomo, Bedjo V.H, Abdullayev W, Kusnanto Mukti Wahyu Dwi Lestari Wakidi, Levana Forra Wulandari, Dessy Tri YILDIZ, Oktay Zy, Ahmad Turmudi