Hybrid machine learning model improves short-term load forecasting
Research published in International Journal of Electrical Power & Energy Systems
Elsevier Energy article digests
Elsevier Energy publishes research across disciplines—including engineering and the physical, natural and social sciences—that advances clean energy transitions for all.
Energy research for a just transition
We foster transdisciplinary collaboration between researchers, practitioners, and policy makers to promote an equitable, community-led transition to net zero.
Article digests summarize selected articles to facilitate connections within and between disciplines and across regions fostering interdisciplinary research that can help us achieve the sustainable development goals.
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Hybrid machine learning model improves short-term load forecasting International Journal of Electrical Power & Energy Systems
Unified model shows CO2 could be a feasible energy transfer fluid in geothermal wells Geoenergy Science and Engineering
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