Power Industry


First counterterror drill for drone attack held at nuclear plant in Ehime

The Japan Times

Some 60 people from the police and Japan Coast Guard participated in the exercise at the Ikata nuclear power plant, which simulated a drone launched from a boat planting a makeshift explosive device on the premises of reactor 3. Officials of Shikoku Electric Power Co., which runs the plant, and members of the bomb disposal unit in the Ehime Prefectural Police also took part. "We took into account the serious situation regarding terrorism in conducting this drill, and I think it is important to prepare for the unpredictable," said Hideto Murase, the local security chief of the Ehime Prefectural Police. Shikoku Electric plans to finish building by March 2020 a facility that is capable of withstanding major terror attacks, such as those involving intentional aircraft crashes, and preventing the release of radioactive materials.


Top-Performing IT Help Desk @CloudExpo @Zoho #DevOps #ITSM #AI #DX

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Technicians should be evaluated on their responsiveness and speed of ticket resolution; processes by the ease of submitting a ticket, reaching a technician and receiving support; and technology by the ease of communication. With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track.


How 'computational sustainability' uses AI to protect the planet: 3 use cases

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Consider the work of researchers in the field of'Computational Sustainability' – a field of AI research making us better stewards of life on Earth. Despite being a relatively new research field, Computational Sustainability has already helped fight wildlife poaching, reduce greenhouse gas emissions, understand poverty, manage wildlife populations, and protect biodiversity. Renewable energy can reduce greenhouse gas emissions and protect us from climate change, but renewables like wind power cannot increase output whenever consumers increase their electricity demands. Protecting wildlife often requires governments to acquire land for wildlife protection, but budgets for land purchases are small compared to the number of wildlife extinctions.


Adding a second pair of arms is as easy as putting on a backpack

Engadget

There's only so much you can do with two arms and hands. As the name suggests, Metalimbs are a pair of metal, robotic arms that doubles the amount of torso-extremities and worn with a backpack of sorts. Raise your left leg and the left arm moves in kind; curl your toes and the robot hand will make a fist. Unlike recent advancements we've seen, these actually look practical and not too far off from leaving the concept phase.


LIDS Smart Urban Infrastructures Workshop highlights emerging research

MIT News

The event was hosted by the Laboratory for Information and Decisions Systems (LIDS), which is both the longest-running research laboratory at MIT and the major research lab of the MIT Institute for Data, Systems, and Society (IDSS). The conference was organized around six central themes related to smart services: security and privacy; smart cities and communities; communications and the internet of things; transportation services and platforms; autonomous transportation; and smart grid and energy services. In the panel on Communications and the Internet of Things in Smart Cities, Veniam CEO and founder João Barros discussed some communications applications that can improve cities, such as having vehicles share software updates. The Smart Grid and Energy Services panel also highlighted the human component of smart systems.


New Company Uses Artificial Intelligence To Sell You Cheaper Power

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"Drift uses artificial intelligence and machine learning to determine how much energy will be needed the next day by factoring in things like the daily energy usage of individual customers over time and zip code by zip code microclimate weather data estimates. For example, Drift is tapping into traditional demand response markets through the commercial buildings in its network. So, commercial buildings connected to the Drift network could sell excess power to residential customers or small businesses that have also signed on to Drift's platform. "Machine learning and artificial intelligence solve unknown unknowns of our marketplace," said Robinson.


Empowering the Next-Generation Power Grid with Big Data – NEMA Currents

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In 2014, VELCO began work with IBM, Vermont's distribution utilities, and other partners to develop VWAC, which integrates IBM's precise weather forecasting with Vermont's customer load data and output data from the state's renewable generators to turn this mass of data into actionable information using leading-edge analytics. Finally, VWAC provides greater visibility to potential demand response events based on demand forecasts, from the substation to the distribution service territory to the statewide level. Linking VWAC output to VELCO's energy management system will improve core grid reliability and more accurately integrate weather-dependent generation in it. Reduced uncertainty of production from behind-the-meter (BTM) solar will result in better commitment and dispatch decisions by ISO New England, reducing production costs and avoiding unnecessary supplemental commitments and fuel consumption.


PG&E leverages machine-learning and data science for asset management and DER integration

#artificialintelligence

In its simplest form, the answer is we need a platform that can integrate a wide variety of data sources: not just utility-owned data (eg asset location, asset type, smart meter data), but also external data sources such as weather patterns, customer-sited solar input and so forth. Now, we're working to turn these fault current indicators into smart line sensors that enable the smart grid to communicate the location of the fault instantaneously. The GOSI project set out to demonstrate real-time data integration and visualisation for distributed energy resources, evaluate benefits and use cases of a single-interface software platform – to provide a single software interface as a tool for distribution operators and engineers/power quality end users. The project developed key data, system, and user experience learnings through integrating more than 20 data sources into a single visualisation tool allowing users to view complex data sources in ways that were not possible through current solutions.


Top #M2M Brand: @ThingsExpo #IoT #IIoT #AI #ML #DL #DX #SmartCities

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With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Join Cloud Expo / @ThingsExpo conference chair Roger Strukhoff (@IoT2040), June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA for three days of intense Enterprise Cloud and'Digital Transformation' discussion and focus, including Big Data's indispensable role in IoT, Smart Grids and (IIoT) Industrial Internet of Things, Wearables and Consumer IoT, as well as (new) Digital Transformation in Vertical Markets. Accordingly, attendees at the upcoming 20th Cloud Expo / @ThingsExpo June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA will find fresh new content in a new track called FinTech, which will incorporate machine learning, artificial intelligence, deep learning, and blockchain into one track. The upcoming 20th International @CloudExpo @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA announces that its Call For Papers for speaking opportunities is open.


SELF-LEARNING POWER GRIDS & IMPACT ON POWER MARKETS

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A Self-Learning Power Grid with advanced monitoring controls, centralized data processing, and advanced algorithms is the key to training and developing a Self-Learning Power Grid that will result in optimized grid operations and thus reducing costs and response times. All of this is going to be achieved with Advanced Machine Learning applications in the Power Systems Domain. Deriving meaningful analytics from disparate data sources without the right tools and technology is the challenge and this is what is being addressed by big data technologies, the application of machine learning techniques, and other learning algorithms. Now is the time to talk about integration of Modern Grid with Big Data, Machine Learning and Advance Algorithms.