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Internet of Things and Internet of Drones in the Renewable Energy Infrastructure Towards Energy Optimization

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AI and IOT in Renewable Energy

Part of the book series: Studies in Infrastructure and Control ((sic))

Abstract

A significant growth in implementing various renewable energy systems is observed throughout the world. Variable renewable electricity (VRE) sources such as solar PV and wind power have gained attractive investments in many countries, resulting in rapid growth in the installed capacity of these green sources of energy. The contribution of these variable renewable electricity energy sources had produced around 8.7% of global electricity as compared to 27.3% of all renewable energy sources at the world level. Therefore, there is an urgent need to improve the power system flexibility as the progress of the integration of variable renewable electricity energy sources. International efforts to meet renewable energy deployment and energy efficiency measures are resulting in a safe and reliable manner of renewable energy, thereby, resulting in minimized environmental, climate impacts, air quality improvement, good public health, and increased jobs and economic growth, increased grid reliability as well as lower energy costs on a household, corporate and national levels, The joint efforts by various institutions, corporations, governments, and non-governmental organizations (NGOs) has resulted in enhancing world level energy efficiency highlighting the potential to significantly minimization of greenhouse gas emissions on the earth. This paper highlights the latest developments in implementing Internet of Things (IoT) GPS and GIS tools and applications in energy sector in various parts of the world.

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Correspondence to Ashok G. Matani .

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Matani, A.G. (2021). Internet of Things and Internet of Drones in the Renewable Energy Infrastructure Towards Energy Optimization. In: Shaw, R.N., Mendis, N., Mekhilef, S., Ghosh, A. (eds) AI and IOT in Renewable Energy. Studies in Infrastructure and Control. Springer, Singapore. https://doi.org/10.1007/978-981-16-1011-0_2

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  • DOI: https://doi.org/10.1007/978-981-16-1011-0_2

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  • Online ISBN: 978-981-16-1011-0

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