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for pattern extraction, explanation, and forecasting of the high-dimensional, non-stationary, temporal data encountered in energy finance. We design this new family of ML/AI instruments to provide distinct
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market activities. In addition to forecasting solar irradiance and PV power, our Energy Meteorology group develops new methods for upscaling PV feed-in. In the currently ongoing research project PVEV
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challenges in the area of hazard assessment and impact forecasting. The aim of the project is to develop methodologies for forecasting future energy use for various assets and weather scenarios from short term
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and multi-head attention models). An experience with specialized foundation models is a plus. Areas of interest include but are not limited to: Energy market and load/generation forecasting, including
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optimization of energy systems. A key goal of this project is to incorporate forecasting and market data (e.g., weather, electricity, fuel, and emission prices) to enhance optimized system operation
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- Friday 8:00 AM - 5:00 PM, extended hours during depending on operational needs. Job Location Raleigh, NC Department The North Carolina Clean Energy Technology Center About the Department The North Carolina
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analytics initiatives that advance reporting accuracy and data-informed decision-making Apply appropriate analytical methods and tools that facilitate trend analysis, forecasting, and performance measurement
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the university to advance society’s understanding of our energy and climate future. The Institute combines faculty insights in energy markets and policy, climate systems engineering, and energy technology to
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-Doctoral Research Associates and PhD students. To find out more go to: Centre for Integrated Renewable Energy Generation and Supply - Research - Cardiff University https://www.linkedin.com/showcase/centre
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and energy systems simulations, and scenario forecasting-to evaluate dynamic energy-water futures and resilience strategies for diverse Idaho communities. Job Summary/Basic Function: The Postdoctoral