arXiv (All)
open access
Medium-Term Multi-Resolution Electric Load Forecasting using Economic Data and Foundation Model
Accurate medium-term, from a few months to a few years, electricity load forecasts are crucial for informed decision-making in power plant maintenance scheduling, load dispatch and price settlement. Being comprised between Long-Term Load Forecasting (LTLF) which uses mostly economic projections and
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Explainable Load Forecasting with Covariate-Informed Time Series Foundation Models#146916
- Foundation models for electricity price forecasting and battery arbitrage: Can they replace market-specific forecasting models?#819564
- Foundation models for electricity price forecasting and battery arbitrage: Can they replace market-specific forecasting models?#809568
- Learning to Price Electricity for Optimal Demand Response#1155690
- Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting#1116370
Record · ID 1115762
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive