Power Industry



Drone Delivery, If Done Right, Could Cut Emissions

IEEE Spectrum Robotics Channel

Drone delivery is expected to take off big time in the next few years. Chinese online retailer JD.com has already launched drone delivery in four provinces in China, while DHL and Zipline are delivering medicines with drones in rural and hard-to-reach areas. Amazon, Google, and UPS are all working ...


AI and utilities: Europe's defining role

#artificialintelligence

Artificial intelligence is changing the world but is it for the better? Tamara McCleary, CEO at Thulium, argues that Europe's power sector has a crucial role to play in leading the responsible application of AI. It will come as no surprise to hear that artificial intelligence is used in some of the...


AI Enhanced Smart Homes Reduce Power Grid Demands

#artificialintelligence

Artificial Intelligence is a phrase that gets thrown around quite a bit. Part of the problem is we don't understand what AI actually means. In the energy industry, Artificial Intelligence represents a technology that can dramatically decrease our reliance on fossil fuels. How? In this guide, we'll ...


AI: Separating Artificial From Intelligent

#artificialintelligence

It's been a typical day for you as chief executive. Too many meetings, an impending budget crisis, and an analysis of last week's production outage. And then a board member walks in; "Hey, I've been hearing about this Artificial Intelligence thing. We should buy one and jump over our competition. Le...


AI, electricity and the age of empowerment - IoT Now - How to run an IoT enabled business

#artificialintelligence

Artificial intelligence (AI) is changing the world, but is it for the better? Here, Tamara McCleary, CEO at Thulium, argues that Europe's power sector has a crucial role to play in leading the responsible application of AI. It will come as no surprise to hear that AI is used in some of the most exc...


DistribuTech 2018: Big Data, Artificial Intelligence and 'Digital Twins'

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What can massive computing power and ubiquitous data do for the future power grid? The answers to this question were lurking around every corner at this year's massive DistribuTech utility and energy trade show in San Antonio, Texas, where the phrases "machine learning," "artificial intelligence" a...


Yorkshire coal plant to close with loss of 130 jobs

Guardian Energy

Eggborough's failure to get capacity market contract proved final straw for power station Fri 2 Feb 2018 05.25 EST Last modified on Fri 2 Feb 2018 09.13 EST A major coal power station in Yorkshire will close at the end of September after it failed to secure a government subsidy to provide backup power next winter. Losing out on a capacity market contract sounded the death knell for Eggborough, which supplies power to 2m homes and employs around 170 people, about 130 of whom are expected to be laid off. Around 40 will be kept on for decommissioning and demolition. "Already on the ropes, Eggborough missing out on a capacity market contract was the final straw for this once-great power station," said Jonathan Marshall, energy analyst at the ECIU thinktank. The plant is run by Czech power firm EPH, which bought two of British Gas owner Centrica's large gas plants last year, and also owns an old power coal plant in Northumberland which it is converting to burn wood.


Unsupervised Machine Learning: The Path to Industry 4.0 for the Coal Industry

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Artificial intelligence and machine learning aren't just fictional pieces of futuristic Hollywood movies. Power plants can deploy these innovative technologies today to more accurately predict the condition of assets and schedule appropriate maintenance to correct equipment problems before failure. Although the new administration in Washington has reversed the "war on coal," long-term trends in the U.S. are not promising. Most coal-fired capacity was built between 1950 and 1990, and the average coal plant is about 42 years old. With plant retirements expected to continue in 2018 and beyond, investment in new plants has come to a standstill.


10 Principles for Leading the Next Industrial Revolution

#artificialintelligence

A version of this article appeared in the Autumn 2017 issue of strategy business. It isn't often that the broad infrastructure that underlies industrial civilization undergoes a dramatic transformation. But just such a change appears to be happening now. In a great wave of technological change, sensors are spreading through factories and warehouses, software is predicting the need for maintenance before a machine breaks down, power grids and loading docks are becoming intelligent, and custom-designed parts are being produced on demand. The leaders of the next industrial revolution are companies making advances in fields such as robotics, machine learning, digital fabrication (including 3D printing), the Industrial Internet, the Internet of Things (IoT), data analytics and blockchain (a system of decentralized, automated transaction verification).