contentSlug

type

ContentSlug_ContentQuery

slug

ContentPageContentQuery

content

trendingContent

query ContentSlug_ContentQuery(
  $contentSlug: String!
  $type: [ContentType!]
) {
  ...ContentPageContentQuery_13QmVO
}

fragment CompanyDetails_Content on Content {
  __isContent: __typename
  companies {
    name
    description
    pageUrl
    id
  }
}

fragment ContentBasicInfo on Content {
  __isContent: __typename
  id
  type
  title
  lang
  companies {
    viewerIsFollowing
    id
    name
    pageUrl
  }
  tags {
    viewerIsFollowing
    id
    name
    pageUrl
  }
  ...PublishingDetails
  ...Reactions
}

fragment ContentMetadata on Content {
  __isContent: __typename
  type
  title
  lang
  pageUrl
  alternatePageUrls: translations {
    __typename
    pageUrl
    lang
  }
  imgUrl
  description
  ... on Video {
    liveTime
    videoUrl
  }
  ... on Webcast {
    liveTime
    videoUrl
  }
}

fragment ContentPageContentQuery_13QmVO on Query {
  content(slug: $contentSlug, type: $type) {
    __typename
    id
    type
    title
    isPremium
    lang
    htmlBody
    summary
    companies {
      forum {
        latestPosts {
          ...ForumPosts
        }
      }
      name
      id
      viewerIsFollowing
      pageUrl
      defaultInstrument {
        isin
        id
        marketOpen
        marketClose
        marketplace {
          region
        }
        returns {
          total
        }
      }
    }
    tags {
      viewerIsFollowing
      id
      name
      pageUrl
    }
    createdAt
    ... on Video {
      liveTime
    }
    ... on Webcast {
      liveTime
    }
    slug
    ... on CompanyReport {
      reportUrl
    }
    ... on ThirdPartyCompanyReport {
      reportUrl
    }
    ... on StockExchangeRelease {
      reportUrl
    }
    ...ContentBasicInfo
    ...ContentMetadata
    ...PriceAndRecommendation_Content
    ...CompanyDetails_Content
    ...ReportLink_Content
    ...KeyFigures_Content
  }
  ...TrendingContent_1jQ2Cn
}

fragment ForumPosts on ForumPost {
  text
  likesCount
  url
  author
  postedAt
  authorImgUrl
}

fragment KeyFigures_Content on Content {
  __isContent: __typename
  companies {
    defaultInstrument {
      estimateData {
        modelType
        reportingCurrency
      }
      snapshot {
        transaction {
          date
          actualized {
            year
            quarter
            revenue
            revenueGrowth
            ebitAdjusted
            ebitReported
            ebitda
            enterpriseValue
            epsAdjusted
            dividend
            dividendYield
            sharePrice
          }
          estimates {
            year
            quarter
            revenue
            revenueGrowth
            ebitAdjusted
            ebitReported
            ebitda
            enterpriseValue
            epsAdjusted
            dividend
            dividendYield
            sharePrice
          }
        }
      }
      id
    }
    id
  }
}

fragment PriceAndRecommendation_Content on Content {
  __isContent: __typename
  createdAt
  companies {
    name
    pageUrl
    defaultInstrument {
      priceData {
        tradeCurrency
      }
      snapshot {
        priceData {
          date
          lastPrice
          tradeCurrency
        }
        transaction {
          date
          recommendation
          targetPrice
        }
        prevTransaction {
          recommendation
        }
      }
      id
    }
    id
  }
}

fragment PublishingDetails on Content {
  __isContent: __typename
  createdAt
  publishers {
    name
    imgUrl
  }
  authors {
    __typename
    id
    name
    slug
    imgUrl
    jobTitle
  }
  ... on Video {
    liveTime
  }
  ... on Webcast {
    liveTime
  }
}

fragment Reactions on Content {
  __isContent: __typename
  id
  reactionGroups {
    reactionType
    reactionsCount
    viewerReacted
  }
}

fragment ReportLink_Content on Content {
  __isContent: __typename
  type
  isPremium
  ... on CompanyReport {
    reportUrl
  }
  ... on ThirdPartyCompanyReport {
    reportUrl
  }
  ... on StockExchangeRelease {
    reportUrl
  }
}

fragment TrendingContent_1jQ2Cn on Query {
  trendingContent(type: ARTICLE) {
    __typename
    id
    title
    lang
    pageUrl
    createdAt
    type
    imgUrl
    companies {
      squareLogoUrl
      name
      id
    }
    authors {
      __typename
      imgUrl
      id
    }
    publishers {
      imgUrl
    }
  }
}


in-focus-is-there-a-way-to-predict-serious-faults-in-the-power-grid-hours-in-advance

__typename

title

isPremium

lang

htmlBody

summary

companies

createdAt

publishers

authors

reactionGroups

pageUrl

translations

imgUrl

description

Dlaboratory Sweden operates in the technology industry. The company specializes in the development of SaaS services. The software is self-developed and is mainly used for real-time monitoring of electricity networks for operators. The customers mainly consist of corporate customers operating in the energy sector. The customer offering includes hardware, software, cloud-based data storage and patented algorithms. The headquarters are located in Lund.

Dlaboratory Sweden

Dlaboratory Sweden AB (publ) provides a powerful platform for collecting, analyzing, and contextualizing grid data. Every day the platform records thousands of deviations that are further processed...

Dlaboratory Sweden AB (publ) provides a powerful platform for collecting, analyzing, and contextualizing grid data. Every day the platform records thousands of deviations that are further processed and analyzed by the dInsight Analytics Platform. Thanks to both the sensitive and high-resolution measurement, even the smallest ripple in current and voltage waveforms are recorded. These registered data are further classified individually to one of a set of defined categories, where some are disregarded as minor disturbances without individual significant value and hence unclassified. However, all data including these unclassified ripples has always been stored for future purposes. Today, these ripples have proved to be very important in dLab’s next endeavors towards the perfected grid insight. In September 2021 dLab announced an ongoing machine learning initiative: <a href="https://www.globenewswire.com/Tracker?data=elN5y1_YU3thJVjZWnl9zb2_aSADbMLXgtQHAvCpENw7s7ft-pJUltRQawhPM407SvQa-6OGJz2Sv8mZh1ytC5Vktu1UVrA9CJQnWoTF_lhBADgEi83D5N4IjaK4zEMQH48BaG1bucDKlqaLzygSr_IOse70bJLvkl_VY_UscY8e54nuKLO54nqd_D7vk6mQwWuO9GibfbJtNELLTOWcMA==">Do you understand the beauty of AI? | dLab (dlaboratory.com)</a> and today we can proudly give an interesting little insight into results of one of these proof-of-concept projects.&nbsp; By applying machine learning algorithms on so called time series including both classified and unclassified data, patterns not visible to either the human eye or advanced signal processing have been detected. The results strongly indicate a possibility to with high accuracy automatically predict serious faults hours in advance when taking theses previously unclassified data into account.&nbsp;&nbsp; So, what implications could this have for your supply quality? <a href="https://www.globenewswire.com/Tracker?data=kx8mZ1d-EVbddi3GFsGBGkVuxhqPkLlkSlJP2PFw0wr8XvbK_pxagpRIJDBPInC_3mPLYkJgO7Ter3KtEU9GCz9D9ghd4Hszt-oXBHM2zdd90V7zPKxpmYrCXvGLvqIe">Connect with us to discuss!</a> About Dlaboratory Sweden AB (publ)&nbsp;- <a href="https://www.globenewswire.com/Tracker?data=B8z90NVJ758hElrBW3gxHJgRB8d_adycwxRhU-e_z0LIfI9rE6z6vtaSGm13qiUl8apQiW87PsmyQa04S1AsaMvr3ethgiq44YNqJ-Of2Ns=">https://dlaboratory.com</a> Dlaboratory Sweden AB (publ) is a cleantech company offering an intelligent digital platform facilitating for the energy sector to support the sustainable society of tomorrow. By providing visual grid analytics that enables data-driven decision-making, the possibilities are opened for a modernized way of working and a more resilient power grid. dLab is a commercial company since 2015 and the shares are listed at Nasdaq First North GM (DLAB) since April 2021. Please visit https://dlaboratory.com to find out more. <img src="https://www.globenewswire.com/newsroom/ti?nf=MTAwMDYwNDcwNiM0MDExNjIxNzAjMjE5OTk4NQ=="> <img src="https://ml-eu.globenewswire.com/media/YWZkZjc3ODktMTlhNC00MjI0LTg0ODAtZTY1MTI1MmI1ZDdiLTEyMTE1Mzg=/tiny/Dlaboratory-Sweden-AB.png">

In Focus: Is there a way to predict serious faults in the power grid hours in advance?