eBook overview
This page gives the clean, canonical details for this title: what it covers, who it is for, and where to get it.
Energy
AI-Powered Smart Grid: Revolutionizing Electricity Distribution and Generation
Artificial intelligence optimizes smart grids, enhancing energy efficiency, predicting demand, and integrating renewables for sustainable electricity distribution and generation. Pages: 338.
338
Energy
Artificial Intelligence
AI Trends
Who it is for
Readers who want practical, plain-English AI analysis without the usual marketing confetti cannon.
Why it matters
This title focuses on applied AI, real-world trade-offs, and what actually matters once the hype has left the room.
Quick facts
Length
338 pages
Primary lens
Energy
Best for
Energy professionals, utility teams, policy readers, and anyone trying to understand how AI fits into grid balancing, forecasting, and infrastructure resilience.
Related AI topics
This book sits comfortably alongside broader explainers and sector-specific guides.
Why it matters
Power systems do not care about marketing slogans. They care about demand spikes, maintenance, outages, storage, and load balancing. That is where AI either earns its keep or gets laughed out of the control room.
What you’ll learn
- How AI supports demand forecasting and renewable integration.
- Why smart grids need trustworthy data, robust controls, and sensible human oversight.
- Where optimisation, anomaly detection, and digital twins genuinely help.
What this book covers
- Smart meters, load balancing, and predictive maintenance
- Renewables, storage, and real-time grid decisioning
- Resilience, cybersecurity, and operational constraints
What makes this book distinct
It focuses on the messy reality of infrastructure: legacy systems, regulation, and reliability requirements.
Get this book
Artificial intelligence optimizes smart grids, enhancing energy efficiency, predicting demand, and integrating renewables for sustainable electricity. 338-page guide.
Deeper overview
Longer-form context from the retired overview page, now folded into the canonical book route.
Problem framing: where this topic gets messy
Energy systems have no patience for fluff. The work is about balancing supply, demand, resilience, and cost under real infrastructure constraints. Artificial intelligence optimizes smart grids, enhancing energy efficiency, predicting demand, and integrating renewables for sustainable electricity. Pages: 338. This title focuses on applied AI, real-world trade-offs, and what actually matters once the hype has left the room.
Practical outcomes
In practical terms, the aim is simple: you should see where AI helps forecasting, grid control, maintenance, and energy efficiency without pretending the grid is a toy problem. That means clearer judgement, fewer lazy assumptions, and a much better sense of where to press further or walk away.
- Understand how ai supports demand forecasting and renewable integration.
- Grasp why smart grids need trustworthy data, robust controls, and sensible human oversight.
- Identify where optimisation, anomaly detection, and digital twins genuinely help.
Chapter-level signals
Not a chapter list carved in stone, but the sort of material readers can reasonably expect to work through.
Smart meters, load balancing, and predictive
Smart meters, load balancing, and predictive maintenance.
Renewables, storage, and real-time grid decisioning
Renewables, storage, and real-time grid decisioning.
Resilience, cybersecurity, and operational constraints
Resilience, cybersecurity, and operational constraints.
What makes this title distinct
It focuses on the messy reality of infrastructure: legacy systems, regulation, and reliability requirements.
FAQ
What will I learn from this book?
Power systems do not care about marketing slogans. They care about demand spikes, maintenance, outages, storage, and load balancing. That is where AI either earns its keep or gets laughed out of the control room. It focuses on the messy reality of infrastructure: legacy systems, regulation, and reliability requirements.
Who is this book for?
Energy professionals, utility teams, policy readers, and anyone trying to understand how AI fits into grid balancing, forecasting, and infrastructure resilience.
How long is it?
It’s 338 pages (varies by edition).
Where should I go next after reading it?
Use the related links on this page, then jump to the Operations and automation guide or the wider ebook catalogue.
Keep exploring the Jonathan Harris AI library
Use the links below to carry on browsing the wider catalogue, the podcast, the newsletter, or a related topic.