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APLIKASI ALGORITMA FEED FORWARD BACKPROPAGATION UNTUK BEBAN LISTRIK HARI LIBUR PADA TIPE BEBAN ANOMALI Faridah, Linda; Risnandar, M Aris; Taufiqurrahman, Imam; Rahayu, Andri Ulus
Journal of Energy and Electrical Engineering Vol 2, No 1: Oktober 2020
Publisher : Teknik Elektro Universitas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jeee.v2i1.2123

Abstract

Load pattern for holiday have significant differenct from weekday day, so that require special prediction. This research have purpose to test the performance feed forward backpropagation to know accuracy level of load forecasting for holiday anomalous load. Learning algorithm used feed forward backpropagation from artificial neural network with matlab. Load forecasting optimization is change learning rate and some of learning input. The reasult of this reasult showed learning input give best reasult on mean but difference from that value is small, so learning rate variation small affected at learning
Planning of Solar Generation for Renewable Energy Development in the Evironment of Univeritas Siliwangi, Campus II Mugasari Faridah, Linda; Risnandar, M Aris; Nurdiansyah, Rian
Journal of Electrical, Electronic, Information, and Communication Technology Vol 6, No 2 (2024): JOURNAL OF ELECTRICAL, ELECTRONIC, INFORMATION, AND COMMUNICATION TECHNOLOGY
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/jeeict.6.2.92485

Abstract

The utilization of renewable energy, particularly solar energy, is becoming increasingly crucial in efforts to reduce dependence on fossil fuels and mitigate the impacts of climate change. Higher education institutions play a vital role in adopting and promoting clean energy technologies. This research aims to plan the implementation of a solar power generation system (PLTS) at Siliwangi University Campus II Mugasari using Helioscope software-based simulation. The research methodology includes topographical analysis of the location, evaluation of solar energy potential, and optimization of system design to maximize efficiency and energy output. Helioscope was chosen for its ability to model photovoltaic systems by considering critical variables such as solar radiation, panel configuration, and specific location characteristics. Simulation results indicate that the designed PLTS system has significant potential in generating electrical energy and contributing to the reduction of greenhouse gas emissions. Quantitative analysis includes estimates of energy production capacity, optimal configuration of photovoltaic arrays, and long-term system performance projections. This research provides a comprehensive blueprint for developing renewable energy infrastructure in the campus environment. Additionally, this study contributes to the body of knowledge related to the integration of solar technology in academic contexts and can serve as a replicable model for other higher education institutions in transitioning towards more sustainable and environmentally friendly campuses. Keywords: Renewable Energy, Helioscope, Solar Power Generation System (PLTS), Siliwangi University.