energy


Artificial Intelligence

#artificialintelligence

"The daily grinding of evolution, as accelerated by technology, churns out more and more complex organisms, with higher rates of energy use, and with increasing specialization. Minds are the ideal way to express complexity, energy density, increasing specialization, expanding diversity -- all in one system. Mindedness is what evolution produces. Mindedness is what technology wants, too."


The 5 biggest questions we still have about the Tesla Semi

Mashable

Tesla finally unveiled its heavy-duty, all-electric Semi truck, and we're impressed. The big rig is the sum of all of the automaker's work in one massive package, featuring design cues from its other vehicles and even borrowing their parts, like the Model 3 motors that power each of its "super single" wheels. Musk claims the Semi will also offer truckers BAMF acceleration and performance specs, up to 500 miles of range per charge, and a cheaper cost to operate than standard diesel trucks. The Semi certainly looks the part of the next big thing for the trucking industry -- but there's still so much about it that we don't know. Elon Musk only showed off certain aspects of the truck during his presentation, leaving some very important features to be shared at a later date, when Tesla is ready to start churning out the rigs for clients.


What Is the Potential for AI in the Energy Industry?

#artificialintelligence

Artificial intelligence has the potential to transform a multitude of industries, including retail, small business accounting and even product design. The energy and utilities markets could be next. It's still early days in terms of adoption, but there are numerous use cases for AI in the energy and utilities industries. AI can be used to make smart electric grids more efficient in delivering energy, can predict when batteries and other equipment will fail and can also help make energy exploration easier and more economical. AI and one of its subsets, machine learning, are digital trends poised to disrupt the energy industry, according to a recent report from Wood Mackenzie, an energy, chemicals, renewables, metals and mining research and consultancy group, Greentech Media (GTM) reports.


Spotify: Analyzing and Predicting Songs – ML Review – Medium

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If there's one thing I can't live without, it's not my phone or my laptop or my car -- it's music. I love music and getting lost in it. My inspiration for this project is finding out what it is about a song that I enjoy so much. After using Python and some data wrangling techniques, the data frame below is what I use to do some exploratory data analysis (EDA). Again, using Python, I was able to create this visualization of distributions between my Liked (blue) and Disliked (red) songs.


Energy Data Insights: The Missing "Smart Step" to Better Building Performance

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Following our last article on "Artificial Intelligence in Energy Management Software", we got many responses from vendors and users alike. Over the next couple of weeks and month we will follow them all up and present here what we do believe are relevant and smart new solutions. As EEIP we are having a particular focus on solutions not only delivering a higher return but are adressing (and solving) a specific barrier in the market. Dexma showed us a new solution based on the insight of the "2 steps to energy efficiency". Basically it means that you need to equip someone within a company with some arguments to kick-off an energy audit.


The boy genius tackling energy’s toughest problem

USATODAY

A solar-powered electric vehicle from the Dutch's Stella cars will be able to run for months by charging its batteries using the sun's rays, according to its developers. Taylor Wilson, 17 of Reno, Nev., explains his fusion reactor during the White House Science Fair in Washington on Tuesday, Feb. 7, 2012. In the past year or so an unorthodox think-tank called Helena has been quietly bringing together an eclectic cross-section of brilliant individuals (mostly bright-eyed millennials) with ambitious goals. They're focusing on the world's biggest and most insurmountable problems: climate change and global security issues such as artificial intelligence, cryptocurrencies and nuclear proliferation. The elite and edgy group includes Nobel laureates, Hollywood stars, technology entrepreneurs, human rights activists, Fortune-list executives, a North Korean refugee and more.


Want to build smart cities instead of dating apps? Come to NYC

@machinelearnbot

New York State's power grid is built to accommodate only a few hours of the highest short-term load of the year. More than 90% of the time, that oversized capacity sits idle--costing rate-payers $17 billion over the past decade. That number will nearly double to $30 billion over the next 10 years if changes aren't made. But New York technology companies are diving into this problem and others, and have some promising solutions. While other startup ecosystems boast the next best dating app, New York City startups are integrating business and technology to solve the world's most pressing energy problems.


Our week on Facebook: ICYMI – Anson McCade – Medium

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What do you imagine when you hear the term'smart city'? Many will think flying cars, and high tech holograms helping out civilians. Unfortunately, it is not quite like that. Many cities all over the world are classified as'smart', with London and Bristol being marked 80 out of 100 in terms of smart capabilities. So, what are some of the features of a smart city?


Artificial intelligence aids materials fabrication

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In recent years, research efforts such as the Materials Genome Initiative and the Materials Project have produced a wealth of computational tools for designing new materials useful for a range of applications, from energy and electronics to aeronautics and civil engineering. But developing processes for producing those materials has continued to depend on a combination of experience, intuition, and manual literature reviews. A team of researchers at MIT, the University of Massachusetts at Amherst, and the University of California at Berkeley hope to close that materials-science automation gap, with a new artificial-intelligence system that would pore through research papers to deduce "recipes" for producing particular materials. "Computational materials scientists have made a lot of progress in the'what' to make -- what material to design based on desired properties," says Elsa Olivetti, the Atlantic Richfield Assistant Professor of Energy Studies in MIT's Department of Materials Science and Engineering (DMSE). "But because of that success, the bottleneck has shifted to, 'Okay, now how do I make it?'"


Sensors Shape The Future Of Office BMS

@machinelearnbot

Sensor technology is not new to smart buildings. Millions of office buildings around the world today are equipped with sensor-based systems designed to conserve energy, performing simple tasks such as automatically turning the lights on and off when someone enters or leaves a room. But this is just the beginning of the smart building revolution. A truly smart building will know how the office space is being used at every single moment: how many people are in each room, how long the line is in the cafeteria, where there is a free desk, and many other aspects of the building usage. This awareness will be translated into a more cost-effective and productive working environment for the building inhabitants.