Artificial Neural Network Analysis on BMS dataset using Scale Conjugate and Gradient Descent Optimization Techniques

This research was done to support the efforts of green technology in Malaysia. The main objective of this research is to reduce electricity consumption in Help University, Subang 2 campus. This award-winning campus and campus management system, incorporates its vision, policies and practices for sustainability directly into the communities’ everyday activities covering (1) Efficiency in Energy, (2) Conserving water, (3) Reduce and Recycle, and (4) Fostering green transportation options. Help University Subang 2 Campus is a winner of the following architecture awards: (1) 2017 Malaysia Landscape Architecture Prize, (2) PAM Awards of Honour 2017, (3) Commendation Award Category Education, and (4) Green Building Index (GBI) certification. This research comprises of 3 main stages, Stage 1: Data Collection by Building Management System (BMS) system, Stage 2: Artificial Neural Network (ANN) analysis on BMS dataset using Scale Conjugate and Gradient Descent optimization techniques, and lastly Stage 3: Developing a green technology device. At the end of this research, we emphasized the Thin-Film and Low-Price Crystalline PV type of solar panel to be adapted into our device in Stage 3. It is expected the innovation solar powered device can be manufactured in large scale due to advantages of this type of solar cells.