Search Results - "Eikeland, Odin Foldvik"

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  1. 1

    Probabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case by Eikeland, Odin Foldvik, Hovem, Finn Dag, Olsen, Tom Eirik, Chiesa, Matteo, Bianchi, Filippo Maria

    Published in Energy conversion and management. X (01-08-2022)
    “…The energy market relies on forecasting capabilities of both demand and power generation that need to be kept in dynamic balance. Nowadays, contracts and…”
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    Journal Article
  2. 2

    Predicting Energy Demand in Semi-Remote Arctic Locations by Foldvik Eikeland, Odin, Bianchi, Filippo Maria, Apostoleris, Harry, Hansen, Morten, Chiou, Yu-Cheng, Chiesa, Matteo

    Published in Energies (Basel) (01-02-2021)
    “…Forecasting energy demand within a distribution network is essential for developing strategies to manage and optimize available energy resources and the…”
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    Journal Article
  3. 3

    Power availability of PV plus thermal batteries in real-world electric power grids by Eikeland, Odin Foldvik, Kelsall, Colin C., Buznitsky, Kyle, Verma, Shomik, Bianchi, Filippo Maria, Chiesa, Matteo, Henry, Asegun

    Published in Applied energy (15-10-2023)
    “…As variable renewable energy sources comprise a growing share of total electricity generation, energy storage technologies are becoming increasingly critical…”
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    Journal Article
  4. 4

    Detecting and Interpreting Faults in Vulnerable Power Grids With Machine Learning by Eikeland, Odin Foldvik, Holmstrand, Inga Setsa, Bakkejord, Sigurd, Chiesa, Matteo, Bianchi, Filippo Maria

    Published in IEEE access (2021)
    “…Unscheduled power disturbances cause severe consequences both for customers and grid operators. To defend against such events, it is necessary to identify the…”
    Get full text
    Journal Article
  5. 5

    Uncovering Contributing Factors to Interruptions in the Power Grid: An Arctic Case by Eikeland, Odin Foldvik, Maria Bianchi, Filippo, Holmstrand, Inga Setså, Bakkejord, Sigurd, Santos, Sergio, Chiesa, Matteo

    Published in Energies (Basel) (01-01-2022)
    “…Electric failures are a problem for customers and grid operators. Identifying causes and localizing the source of failures in the grid is critical. Here, we…”
    Get full text
    Journal Article
  6. 6

    Rethinking the role of solar energy under location specific constraints by Eikeland, Odin Foldvik, Apostoleris, Harry, Santos, Sergio, Ingebrigtsen, Karoline, Boström, Tobias, Chiesa, Matteo

    Published in Energy (Oxford) (15-11-2020)
    “…In this manuscript we evaluate the potential of photovoltaic systems to meet some dedicated energy demand in specific geographic locations. Our approach is…”
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    Journal Article
  7. 7

    Detecting and Interpreting Faults in Vulnerable Power Grids With Machine Learning by Chiesa, Matteo, Bianchi, Filippo Maria, Eikeland, Odin Foldvik, Holmstrand, Inga Setså, Bakkejord, Sigurd

    Published in IEEE access (2021)
    “…Unscheduled power disturbances cause severe consequences both for customers and grid operators. To defend against such events, it is necessary to identify the…”
    Get full text
    Journal Article
  8. 8

    Investigation of Energy Yield on Tromsøya by Mapping Solar Potential in ArcGIS by Eikeland, Odin Foldvik, Bostrom, Tobias, Chiesa, Matteo

    “…To reduce global greenhouse emissions, energy production from renewable energy resources should be markedly increased to supply the rising global energy…”
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    Conference Proceeding
  9. 9

    Power Availability of PV plus Thermal Batteries in real-world electric power grids by Eikeland, Odin Foldvik, Kelsall, Colin C, Buznitsky, Kyle, Verma, Shomik, Bianchi, Filippo Maria, Chiesa, Matteo, Henry, Asegun

    Published 29-01-2023
    “…As variable renewable energy sources comprise a growing share of total electricity generation, energy storage technologies are becoming increasingly critical…”
    Get full text
    Journal Article
  10. 10

    Probabilistic forecasts of wind power generation in regions with complex topography using deep learning methods: An Arctic case by Eikeland, Odin Foldvik, Hovem, Finn Dag, Olsen, Tom Eirik, Chiesa, Matteo, Bianchi, Filippo Maria

    Published 10-03-2022
    “…The energy market relies on forecasting capabilities of both demand and power generation that need to be kept in dynamic balance. Today, when it comes to…”
    Get full text
    Journal Article
  11. 11

    Detecting and interpreting faults in vulnerable power grids with machine learning by Eikeland, Odin Foldvik, Holmstrand, Inga Setså, Bakkejord, Sigurd, Chiesa, Matteo, Bianchi, Filippo Maria

    Published 16-08-2021
    “…Unscheduled power disturbances cause severe consequences both for customers and grid operators. To defend against such events, it is necessary to identify the…”
    Get full text
    Journal Article
  12. 12

    Uncovering contributing factors to interruptions in the power grid: An Arctic case by Eikeland, Odin Foldvik, Bianchi, Filippo Maria, Holmstrand, Inga Setså, Bakkejord, Sigurd, Santos, Sergio, Chiesa, Matteo

    Published 28-05-2021
    “…Electric failures are a problem for customers and grid operators. Identifying causes and localizing the source of failures in the grid is critical. Here, we…”
    Get full text
    Journal Article