arXiv Machine Learning June 3, 2026 By Jainam Dhruva, Yousaf Raza, A. B. Siddique, Simone Silvestri

RESCAST-100K: A Comprehensive Dataset for Cross-Domain Residential Load and Indoor Temperature Forecasting

Read the original on arXiv Machine Learning →

arXiv:2606. 02852v1 Announce Type: new Abstract: Accurate short-term forecasting of residential energy load and indoor temperature is essential for home energy management systems, grid-level demand response, and community energy efficiency efforts.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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