IoT and Analytics in Renewable Energy Systems (Volume 2) 1st Edition

Grab attention with cutting-edge expertise: IoT and Analytics in Renewable Energy Systems (Volume 2), 1st Edition by is a must-have resource for engineers, data scientists, utility managers and policy makers who need practical, scalable strategies to harness data-driven renewable energy solutions.

Explore in-depth applications and real-world case studies that connect Internet of Things (IoT) devices, edge computing and advanced analytics to optimize solar, wind, battery storage and microgrid performance. The book breaks down complex topics—smart grid integration, predictive maintenance, energy forecasting, fault detection and demand response—into actionable methods that accelerate deployment and improve ROI across regions from Europe and North America to Asia-Pacific and emerging markets.

Designed for practitioners and decision-makers, this volume balances rigorous technical insights with clear implementation guidance: learn how to design sensor architectures, apply machine learning for load and generation forecasting, secure IoT networks for critical infrastructure, and scale analytics platforms for distributed renewable assets. Whether you’re upgrading a municipal grid, managing utility-scale farms, or developing decentralized energy solutions for rural electrification, the strategies inside help cut costs, increase reliability and support sustainability goals.

Readable, authoritative and forward-looking, IoT and Analytics in Renewable Energy Systems (Volume 2) translates theory into impact—helping organizations reduce downtime, boost efficiency and meet regulatory and climate targets. Add this essential guide to your library and lead the transformation to smarter, cleaner energy. Order your copy today and start turning data into resilient, profitable renewable operations.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.