Smart Technologies for Energy and Environmental Sustainability

The book focuses on the emerging models,architectures,and algorithms for smart computational technologies that can lead to efficient energy conservation and environmental sustainability.

Format: Paperback / softback
Length: 273 pages
Publication date: 30 November 2022
Publisher: Springer Nature Switzerland AG

The widespread adoption of smart technologies for environmental monitoring has sparked a growing need for solutions that can effectively analyze the risk factors and environmental impacts associated with energy consumption, storage, and management. In response to this demand, this book aims to serve as a knowledge-sharing platform, highlighting the emerging models, architectures, and algorithms being developed for smart computational technologies that have the potential to drive efficient energy conservation and promote environmental sustainability.

Energy consumption, storage, and management play pivotal roles in shaping the environmental landscape. By leveraging smart technologies, we can gain insights into these critical aspects and develop innovative solutions to address environmental challenges.

One area of focus is the development of energy-efficient models and algorithms that can optimize energy consumption in various sectors, such as buildings, transportation, and industry. These models can incorporate real-time data and predictive analytics to identify patterns and trends in energy usage, allowing for timely interventions and improvements.

Another important area is the exploration of energy storage technologies, such as batteries, pumped hydro storage, and thermal storage, as means to mitigate the impact of intermittent renewable energy sources and balance the grid. These technologies can help store excess energy during peak demand periods and release it during periods of low demand, ensuring a more stable and reliable energy supply.

Furthermore, smart management systems can be designed to monitor and control energy consumption in real-time, enabling efficient energy distribution and reducing waste. These systems can incorporate sensors, data analytics, and machine learning algorithms to optimize energy usage and minimize environmental impact.

In conclusion, the application of smart technologies for monitoring environmental activities is driving a demand for solutions that can analyze risk factors and impacts on the environment by focusing on energy consumption, storage, and management. This book aims to serve as a knowledge-sharing platform, highlighting the emerging models, architectures, and algorithms being developed for smart computational technologies that have the potential to drive efficient energy conservation and promote environmental sustainability. By leveraging these technologies, we can create a more sustainable and resilient future for our planet.

Weight: 444g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030807047
Edition number: 1st ed. 2022