Pictured from left to right: BRMEMC Energy Services Technician Craig Shook, TVA EnergyRight Energy Services Consultant Mike Clement, and BRMEMC Energy Services Technician Darrin Ingram Learn more about how Blue Ridge Mountain Electric Membership Corporation is using energy-saving programs to benefit its community at. TVA recognizes the Top Performers among the 153 local power companies it serves in coordination with the release of its annual Highlights Report each February. “The Top Performer award demonstrates our value in striving for a healthier and more sustainable community.” “We are proud to be recognized by TVA for our efforts to help our community use energy wisely and improve the lives of our members,” said BRMEMC General Manager Allan Glidewell. □ Third Place in Home Energy Evaluations by conducting 134 Evaluations saving members 204,797 kWh of energy use. All rights reserved.BRMEMC Earns Top Performer Award for TVA Energy-Savings Program(s) □īRMEMC earned a Top Performer designation by the Tennessee Valley Authority (TVA) for achievements in the following TVA EnergyRight energy program categories: FINDENERGY is a comparison and research website that does not directly offer any energy related products.Ĭopyright © 2022 - 2023 Find Energy LLC. All trademarks remain the property of their respective owners, and are used by FINDENERGY only to describe products and services offered by each respective trademark holder. This data is not always in agreement with annually released government data due to differences in calculation methods and time periods. Additionally, this data is compiled using known ownership relationships between power plants and electricity providers, while some of these relationships remain unknown. These 12 month periods may vary from provider to provider and from power plant to power plant, as some entities are required to report on a rolling monthly basis others report on an annual basis. Unless otherwise noted, all data is a compilation of the most recent 12 months of government released data. Instead, they must purchase that electricity at wholesale prices and then resell it at a higher rate to end customers.ĭisclaimer: The data displayed on this page may be incomplete or incorrect. The supplier currently does not produce any of the electricity that they sell. The average residential power bill for a customer of Blue Ridge Mountain EMC is $ 116.61. They had revenue of $ 92, 390, 000 from retail sales to end users. In 2021, they made a total of $ 96, 345, 300 from business activities relating to the sale and transfer of electricity. Of the megawatt hours they sourced, 747, 005 megawatt hours were obtained on wholesale channels. Of the 747, 005 megawatt hours the company sold and dispossessed, 94.31% were via sales to end users. On average, Blue Ridge Mountain EMC bills their customers a residential electricity price of 12.71 cents per kilowatt hour, which is 14.36% below the average national price of 14.84 cents. A total of 56, 005 customers ( 20.92% commercial accounts and 79.08% residential accounts) purchase their electricity from the company. Blue Ridge Mountain EMC is an electric cooperative headquartered in Young Harris, Georgia and serving customers in 2 states in the US.
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Carelessly Yusuke waved with his hands, before putting his hands in the pockets of his trousers. Immediately they pointed their spears at the figure, as he appeared out of nowhere, but as soon as they realised who was standing before them, they immediately withdrew their weapons. On each side, parallel to the pillar stood a guard. Like a raindrop dispersing into a lake, Yusuke drifted into the wall.Īs he opened his eyes again, the brilliant gateway stood right in front of him. A sizzling noise came up as he touched the surface. With confident steps, the young man made a followed the glowing projection on the house wall. A thin light ray escaped from the device and projected, like a beamer, an image of the entrance gate of Koenma’s palace. From the pocket of his backpack, he took a small remote and pointed its head at the battered stonewall in front of him. Carefully he scanned the alley to ensure nobody was there. With a powerful motion, Yusuke swung his backpack over his shoulder as he turned into a deserted side street. He packed the rest of his stuff, closed his ramen booth, and made his way to the spirit world. Once again, he turned the control wheel of his gas cooker, only to turn it off. With a brief sigh, the so called spirit detective scratched the back of his head and stuck the letter into the pocket of his trousers. You are called to immediately appear in person in Reikai on King Enma Jr.’s demand.” This is an adjuration of its highest rank. “To our loyal spirit detective Urameshi Yusuke, A bright smile formed on his lips as he spotted his name and the emblem of the spirit world. He cleaned his palm on his apron, then unfolded the small paper. The young man watched the fading silhouette go before analysing the folded letter in his hand. A sudden grin escaped from the unknown person before he pushed himself from the counter and disappeared in the darkness of the street. Waiting for his counterpart to extend his hand, the cloaked man let the object fall into the shop-keepers palm. With a rough voice, the man greeted the young vendor and revealed his fist, holding cautiously onto a frail item. His eyes were hidden behind a pale brown fedora and most of his lower face was covered by the upright-standing collar of his trench coat. As soon as he collected the seven-thousand yen the customer left on the counter, another person sat down. With a snapping click sound, the man turned up the flame of his portable gas cooker and instantly the soup started boiling and bubbles appeared on the liquid’s surface. Chopping several ingredients like cabbage, garlic, and scallions, he added them to the broth. Wiping the mixture of sweat and fume from his forehead, he continued to stir in the oversized pot with the ramen. He gave it to the guest sitting in front of him, not caring about the few drops that escaped the dish. With a brisk move, the young man filled a ceramic bowl with a scoop of freshly made soup. Stats: Published: Updated: Words: 18,951 Chapters: 20/? Comments: 8 Kudos: 37 Bookmarks: 5 Hits: 1,486 Creator Chose Not To Use Archive Warnings.
Written Words Translation: a function that translates written words or text to a foreign language.Google Translate can translate multiple forms of text and media, which includes text, speech, and text within still or moving images. Īt the end of September 2022, Google Translate was discontinued in mainland China, which Google said was due to "low usage". In 2017, Google Translate was used during a court hearing when court officials at Teesside Magistrates' Court failed to book an interpreter for the Chinese defendant. As of 2018, it translates more than 100 billion words a day. No measurement results have been provided by Google researchers for GNMT from English to other languages, other languages to English, or between language pairs that do not include English. It uses deep learning techniques to translate whole sentences at a time, which has been measured to be more accurate between English and French, German, Spanish, and Chinese. In November 2016, Google transitioned its translating method to a system called neural machine translation. Moreover, the system automatically identifies foreign languages and translates speech without requiring individuals to tap the microphone button whenever speech translation is needed. It is able to scan text or a picture using the device and have it translated instantly. In May 2014, Google acquired Word Lens to improve the quality of visual and voice translation. As of February 2010, it was integrated into browsers such as Chrome and was able to pronounce the translated text, automatically recognize words in a picture and spot unfamiliar text and languages. In January 2010, Google introduced an Android app and iOS version in February 2011 to serve as a portable personal interpreter. Despite this, Google initially did not hire experts to resolve this limitation due to the ever-evolving nature of language. Since SMT uses predictive algorithms to translate text, it had poor grammatical accuracy. The input text had to be translated into English first before being translated into the selected language. Originally, Google Translate was released as a statistical machine translation service. It translates multiple forms of texts and media such as words, phrases and webpages. Google Translate is a web-based free-to-user translation service developed by Google in April 2006. It uses this broader context to help it figure out the most relevant translation, which it then rearranges and adjusts to be more like a human speaking with proper grammar". In November 2016, Google announced that Google Translate would switch to a neural machine translation engine – Google Neural Machine Translation (GNMT) – which translates "whole sentences at a time, rather than just piece by piece. Its accuracy, which has been criticized on several occasions, has been measured to vary greatly across languages. During a translation, it looks for patterns in millions of documents to help decide which words to choose and how to arrange them in the target language. Rather than translating languages directly, it first translates text to English and then pivots to the target language in most of the language combinations it posits in its grid, with a few exceptions including Catalan-Spanish. Launched in April 2006 as a statistical machine translation service, it used United Nations and European Parliament documents and transcripts to gather linguistic data. As of June 2023, Google Translate supports 133 languages at various levels, and as of April 2016, claimed over 500 million total users, with more than 100 billion words translated daily, after the company stated in May 2013 that it served over 200 million people daily. It offers a website interface, a mobile app for Android and iOS, and an API that helps developers build browser extensions and software applications. 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The optional depends element specifies data types on which the target class is dependent. A separate JSON file is created for each package specified in the annotation. A package is a JSON file that can be downloaded from the Database Bootstrap tool. The required value element specifies one or more packages to export object data. Target classes to which this annotation is applied are listed in the Database Bootstrap tool. This annotation is used in conjunction with the Database Bootstrap tool, which performs export and import operations between Brightspot environments with the same underlying data model. mashumaro (Apache 2.0) - generates schemas from Python type annotations. List result = session.createQuery("from Person", Person.class).Enables objects of the target class to be exported to a custom package identified by the value element. 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As we're focussing on MySQL in this article, we'll stick with the MySQL5Dialect dialect.įinally, Hibernate also needs to know the fully-qualified name of the entity class via the mapping tag. Hibernate ships with more than 40 SQL dialects. This property is used by the framework to correctly convert Hibernate Query Language (HQL) statements into the appropriate SQL for our given database. For more information on these annotations, see Oracle Fusion Middleware Java API Reference for Oracle TopLink. These annotations are subclasses of the. Apart from the standard connection properties, it is worth mentioning the dialect property which allows us to specify the name of the SQL dialect for the database. JAXB uses an extended set of annotations to define the binding rules for Java-to-XML mapping. Hibernate has many configuration properties. 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