Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things

The text discusses sustainable energy solutions using smart technologies like AI, blockchain, and IoT. It highlights case studies on their applications in energy management, including renewable energy, grid modernization, and smart security. It also emphasizes the role of machine learning and edge computing in renewable energy.

Format: Hardback
Length: 186 pages
Publication date: 15 September 2023
Publisher: Taylor & Francis Ltd

Sustainable energy solutions are being revolutionized by the integration of cutting-edge technologies such as artificial intelligence (AI), blockchain technology, and the Internet of Things (IoT). These innovative tools are enabling a more efficient, reliable, and environmentally friendly approach to energy production and consumption.

Artificial intelligence plays a pivotal role in sustainable energy by enabling the optimization of energy systems. Through the use of machine learning algorithms, AI can analyze vast amounts of data and identify patterns that can help improve energy efficiency, reduce waste, and optimize renewable energy sources. For example, AI-powered smart grids can automatically adjust power distribution to balance supply and demand, reducing energy waste and improving grid stability.

Blockchain technology is also being leveraged in sustainable energy to promote transparency, security, and accountability. Blockchain can be used to create secure and decentralized energy markets, allowing consumers and producers to transact directly without the need for intermediaries. This can help reduce fraud, increase efficiency, and promote renewable energy adoption.

The Internet of Things (IoT) is enabling a new level of connectivity and automation in sustainable energy systems. IoT devices, such as smart meters, sensors, and energy management systems, can collect and analyze real-time data to provide insights into energy consumption and generation. This data can be used to optimize energy usage, identify areas of inefficiency, and develop new energy-saving strategies.

Several case studies have been conducted to demonstrate the applications of AI, blockchain, and IoT in sustainable energy. For example, a project in India is using AI and IoT to optimize the distribution of solar energy in rural areas, where access to electricity is limited. By analyzing weather data and energy consumption patterns, the project is able to predict energy demand and adjust the distribution of solar panels accordingly, reducing energy waste and increasing access to clean energy.

Another example is a project in the United States that is using blockchain technology to create a secure and decentralized energy trading platform. The platform allows consumers and producers to transact directly, without the need for intermediaries, reducing transaction costs and promoting renewable energy adoption.

In conclusion, the integration of AI, blockchain, and IoT is transforming the field of sustainable energy by enabling more efficient, reliable, and environmentally friendly energy production and consumption. These technologies have the potential to revolutionize the way we generate, distribute, and consume energy, and will play an increasingly important role in achieving a sustainable future.

Weight: 453g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032392752