2017 IEEE Conference on Technologies for Sustainability (SusTech) 2017
DOI: 10.1109/sustech.2017.8333532
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Automated Real-time Monitoring System (ARMS) of hydrological parameters for Ambuklao, Binga and San Roque dams cascade in Luzon Island, Philippines

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Cited by 9 publications
(5 citation statements)
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“…Most of the papers in this category focused on picohydropower plant design and monitoring, with plant sizes ranging from 0.2115 watts [34] to 5.0 kilowatts [35]. Water monitoring systems in dams, which can aid in energy and water production, were also examined in the Agno River basin by Monjardin et al [36]. The recovery of available energy from waste or biomass has also been a focus in this category.…”
Section: Systems and Technologiesmentioning
confidence: 99%
See 2 more Smart Citations
“…Most of the papers in this category focused on picohydropower plant design and monitoring, with plant sizes ranging from 0.2115 watts [34] to 5.0 kilowatts [35]. Water monitoring systems in dams, which can aid in energy and water production, were also examined in the Agno River basin by Monjardin et al [36]. The recovery of available energy from waste or biomass has also been a focus in this category.…”
Section: Systems and Technologiesmentioning
confidence: 99%
“…While interconnection is a more cost-effective option for certain island groups, RE microgrids show good potential for off-grid island electrification. In the works of Castro et al [35,36], the techno-economic feasibility of an HRES for Philippine off-grid islands was studied on a larger scale compared to previous studies. It was determined that larger islands have higher RE penetration, which helped decrease costs in the long run.…”
Section: Techno-economic Feasibilitymentioning
confidence: 99%
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“…The study's results align with theoretical values, suggesting that this approach could be useful for monitoring and predicting fluid flow in an orifice. Furthermore, the study proposes a real-time monitoring system, the automated real-time monitoring system (ARMS) [38], that employs sensors to forecast flood levels. The prediction model utilizes a multilayered artificial neural network and demonstrates high accuracy, with goodness-of-fit scores of 0.99889 for the training dataset, 0.99362 for the test dataset, 0.99764 for the validation dataset, and 0.99795 overall [39].…”
Section: Literature Reviewmentioning
confidence: 99%
“…The packages for reading the joystick, movement aid, and motor control were developed while the autonomous movement was powered by an open-source navigation. The Timed Elastic-Band (TEB) route planner 30 enabled path planning optimization to ensure smooth and safe mobility in the iChair system. It also included two laser sensors 31 mounted on the front of the wheelchair to help ensure obstruct avoidance.…”
Section: System Architecturementioning
confidence: 99%