Practical Day-Ahead Power Prediction of Solar Energy-Harvesting for IoT Systems

Author:

Falis Konstantinos1,Tsiougkos Andreas1,Pavlidis Vasilis F.1

Affiliation:

1. Aristotle University of Thessaloniki,Department of Electrical and Computer Engineering,Thessaloniki,Greece

Publisher

IEEE

Reference20 articles.

1. Accurate modeling and prediction of energy availability in energy harvesting real-time embedded systems;lu;Proceedings of the International Conference on Green Computing,2010

2. Pro-Energy: A novel energy prediction model for solar and wind energy-harvesting wireless sensor networks

3. Review of photovoltaic power forecasting

4. On recent advances in PV output power forecast

5. PV power forecast using a nonparametric PV model

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A model-based approach for formal verification and performance evaluation of energy harvesting architectures in IoT systems: A case study of a long-term healthcare application;Simulation Modelling Practice and Theory;2024-11

2. Towards zero-energy: Navigating the future with 6G in Cellular Internet of Things;Journal of Network and Computer Applications;2024-10

3. Predicting Solar-Harvested Energy for Resource-Constrained IoT Devices Using Machine Learning;2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT);2024-04-29

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