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Then you will be able to mark statistics as favourites and use personal statistics alerts. Please log in to access our additional functions. Yes, let me download! Exclusive Corporate feature. Corporate Account. Statista Accounts: Access All Statistics. Basic Account. You only have access to basic statistics. Single Account. The ideal entry-level account for individual users. Corporate solution including all features. The most important statistics.

Further related statistics. Sales of microwaves in India India market share of microwave vendors Penetration of microwave ovens among French households Sales volume of microwave ovens in India Industrial production of microwave ovens in China Sales volume of microwave ovens in Europe Production value of microwave ovens Europe U. But AI isn't just good for analyzing images.

AI already does that to predict weather conditions , the growth of companies , and the likelihood of onset of diseases , to name just a few examples. We believe that AI will be able to provide similar predictive tools for power utilities, anticipating faults, and flagging areas where these faults could potentially cause wildfires.

We are developing a system to do so in cooperation with industry and utility partners. We are using historical data from power line inspections combined with historical weather conditions for the relevant region and feeding it to our machine learning systems. We are asking our machine learning systems to find patterns relating to broken or damaged components, healthy components, and overgrown vegetation around lines, along with the weather conditions related to all of these, and to use the patterns to predict the future health of the power line or electrical components and vegetation growth around them.

Buzz Solutions' PowerAI software analyzes images of the power infrastructure to spot current problems and predict future ones. Right now, our algorithms can predict six months into the future that, for example, there is a likelihood of five insulators getting damaged in a specific area, along with a high likelihood of vegetation overgrowth near the line at that time, that combined create a fire risk.

We are now using this predictive fault detection system in pilot programs with several major utilities—one in New York, one in the New England region, and one in Canada.

Since we began our pilots in December of , we have analyzed about 3, electrical towers. We detected, among some 19, healthy electrical components, 5, faulty ones that could have led to power outages or sparking.

We do not have data on repairs or replacements made. Where do we go from here? To move beyond these pilots and deploy predictive AI more widely, we will need a huge amount of data, collected over time and across various geographies. This requires working with multiple power companies, collaborating with their inspection, maintenance, and vegetation management teams.

Major power utilities in the United States have the budgets and the resources to collect data at such a massive scale with drone and aviation-based inspection programs. But smaller utilities are also becoming able to collect more data as the cost of drones drops. Making tools like ours broadly useful will require collaboration between the big and the small utilities, as well as the drone and sensor technology providers.

Fast forward to October It's not hard to imagine the western U. S facing another hot, dry, and extremely dangerous fire season, during which a small spark could lead to a giant disaster.

People who live in fire country are taking care to avoid any activity that could start a fire. But these days, they are far less worried about the risks from their electric grid, because, months ago, utility workers came through, repairing and replacing faulty insulators, transformers, and other electrical components and trimming back trees, even those that had yet to reach power lines.

Some asked the workers why all the activity. A History of the Microwave Oven. Explore by topic. The Magazine The Institute. IEEE Spectrum. Our articles, podcasts, and infographics inform our readers about developments in technology, engineering, and science. Join IEEE. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

Enjoy more free content and benefits by creating an account Create an account to access more content and features on IEEE Spectrum, including the ability to save articles to read later , download Spectrum Collections , and participate in conversations with readers and editors. The Institute Topic Type News. The popular appliance resulted from a chance discovery in the s. Raytheon developed the first microwave oven, but it took two decades for the technology to become commercially successful.

Computing Topic Type Sensors News. Topic News Type Energy. How many tobacco are sold each year? How many of each album has led zeppelin sold to date? How many people buy books? How many tonneau covers are sold in the US each year? How many berets are sold in France each day?

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How many Jordan shoes are sold each year? On average how many popsicles are eaten each hour? The ideal entry-level account for individual users. Corporate solution including all features. Statistics on " Pay TV in the U. The most important statistics. Further related statistics. Retail sales of non-stick cookware in the U. Further Content: You might find this interesting as well.

Statistics Retail sales of non-stick cookware in the U. Learn more about how Statista can support your business. HomeWorld Business. February 28, Retail sales of microwave cookware in the United States from to in million U. In Statista. Accessed October 26, Statista Inc.. Accessed: October 26,



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