Energy monitoring in solar-powered buildings using internet of things

R Raman, R Jagtap… - … For Smart Nation …, 2023 - ieeexplore.ieee.org
One of the latest techniques for bridging the gap between the real world and the digital one
is the Internet of Things (IoT). Monitoring of electrical and physical factors is made easier by …

[HTML][HTML] Energy Prediction for Energy-Harvesting Wireless Sensor: A Systematic Mapping Study

Z Yuan, Y Ge, J Wei, S Yuan, R Liu, X Mo - Electronics, 2023 - mdpi.com
Energy prediction plays a significant role in energy-harvesting wireless sensors (EHWS), as
it helps wireless sensors regulate their duty cycles, achieve energy neutrality, and extend …

Optimal neural network for predicting solar energy in sensor units based on a cascaded input/structure direct optimization

M Al-Omary, R Aljarrah, A Albatayneh… - Journal of …, 2022 - Wiley Online Library
The sensor units are considered one of the significant technologies that use solar energy as
an assistant power source to the batteries. Despite their advantages over the other forms of …

Development of predictive neural network with historical and geometrical inputs to minimize energy consumption in solar-fed wireless sensor networks

M Al-Omary, C Viehweger, O Kanoun - Sustainable Energy, Grids and …, 2023 - Elsevier
The effective operation of solar-supplied wireless sensor nodes is reached when a constant
function with minimum energy consumption occurs. Accordingly, energy consumption …

[HTML][HTML] Impact of using a predictive neural network of multi-term zenith angle function on energy management of solar-harvesting sensor nodes

M Al-Omary, R Aljarrah, A Albatayneh… - Energy Harvesting and …, 2024 - degruyter.com
Abstract Using the Neural Networks to predict solar harvestable energy would contribute to
prolonging the duration of the effective operation and thus less consumption in solar …

An Efficient Energy-Aware Controller for Small-Scale Solar-Worked Devices Using Ratioed Pro-energy Predictor

M Al-Omary, A Albatayneh, M Jaradat… - 2022 IEEE Electrical …, 2022 - ieeexplore.ieee.org
Currently, the management of energy is considered a requirement not only for large-scale
solar energy systems but also for small-scale solar-worked devices. This is attributed to the …

Reliability Evaluation of GSR Prediction Using Neural Networks with Variant Atmospheric Parameters

M Al-Omary, A Albatayneh, R Aljarrah… - … Multi-Conference on …, 2022 - ieeexplore.ieee.org
Global Solar Radiation (GSR) has fluctuations in its measured values. This occurs by actions
of several factors including clouds, dust, reflections, and others. The ambiguity associated …

An Adaptive Error Cancellation of UWB Wireless Communications for Indoor Positioning

YF Huang, GY Chen - Proceedings of the 2023 8th International …, 2023 - dl.acm.org
In this paper, the Ultra-wideBand (UWB) technology integrated with the Angle of Arrival
(AOA) and Phase Difference of Arrival (PDOA) algorithms is applied for precise indoor …

A Review on Prediction of Solar Energy using Artificial Neural Network.

RK Budania, R Badadapure - Grenze International Journal …, 2024 - search.ebscohost.com
Global acceptance of sustainable development and renewable energy is rising as a result of
climate change's growing effect on national and local governments. The EU 2030 agenda …

[PDF][PDF] Research Article Optimal Neural Network for Predicting Solar Energy in Sensor Units Based on a Cascaded Input/Structure Direct Optimization

M Al-Omary, R Aljarrah, A Albatayneh, K Alzaareer… - 2022 - academia.edu
The sensor units are considered one of the significant technologies that use solar energy as
an assistant power source to the batteries. Despite their advantages over the other forms of …