·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Rehumanizing global health care with agentic AI1h◆How small businesses can leverage AI3h◆Evaluating Interactive Reasoning in Large Language Models: A Hierarchical Benchmark with Executable Games8h◆From Noise to Control: Parameterized Diffusion Policies8h◆Mesh Field Theory: Port-Hamiltonian Formulation of Mesh-Based Physics8h◆Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture8h◆Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials8h◆VESTA: Visual Exploration with Statistical Tool Agents8h◆KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning8h◆NBQ: Next-Best-Question for Dynamic Profiling8h◆LLM-Driven Co-Evolutionary Automated Heuristic Design for Bi-Component Coupled Combinatorial Optimization8h◆Latent Reward Steering: An Adaptive Inference-Time Framework that Implicitly Promotes Cognitive Behaviors in Reasoning LLMs8h◆AI Sovereignty as National Learning Capacity: A Human-Centered Learning Mechanics Viewpoint on France, the United States, and China8h◆SHARP: Sleep-based Hierarchical Accelerated Replay for Long Range Non-Stationary Temporal Pattern Recognition8h◆FALAT: Tracing Failures in LLM Agent Trajectories via Dependency-Guided Search8h◆Subliminal Learning is a LoRA Artifact8h◆Decoupled Behavioral Cloning for Scalable Inductive Generalization in RL from Specifications8h◆Certificate-Guided Evaluation of Reinforcement Learning Generalization8h◆Ryze: Evidence-Enriched Data Synthesis from Biomedical Papers8h◆Adversarial Feeds Steer LLM Agent Decisions Against Their Defaults8h◆Rehumanizing global health care with agentic AI1h◆How small businesses can leverage AI3h◆Evaluating Interactive Reasoning in Large Language Models: A Hierarchical Benchmark with Executable Games8h◆From Noise to Control: Parameterized Diffusion Policies8h◆Mesh Field Theory: Port-Hamiltonian Formulation of Mesh-Based Physics8h◆Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture8h◆Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials8h◆VESTA: Visual Exploration with Statistical Tool Agents8h◆KACE: Knowledge-Adaptive Context Engineering for Mathematical Reasoning8h◆NBQ: Next-Best-Question for Dynamic Profiling8h◆LLM-Driven Co-Evolutionary Automated Heuristic Design for Bi-Component Coupled Combinatorial Optimization8h◆Latent Reward Steering: An Adaptive Inference-Time Framework that Implicitly Promotes Cognitive Behaviors in Reasoning LLMs8h◆AI Sovereignty as National Learning Capacity: A Human-Centered Learning Mechanics Viewpoint on France, the United States, and China8h◆SHARP: Sleep-based Hierarchical Accelerated Replay for Long Range Non-Stationary Temporal Pattern Recognition8h◆FALAT: Tracing Failures in LLM Agent Trajectories via Dependency-Guided Search8h◆Subliminal Learning is a LoRA Artifact8h◆Decoupled Behavioral Cloning for Scalable Inductive Generalization in RL from Specifications8h◆Certificate-Guided Evaluation of Reinforcement Learning Generalization8h◆Ryze: Evidence-Enriched Data Synthesis from Biomedical Papers8h◆Adversarial Feeds Steer LLM Agent Decisions Against Their Defaults8h◆
News/Uncertainty-Aware Transfer Learning for Cross-Building Energy Forecasting: Toward Robust and Scalable District-Level Energy Management
arxiv
PublishedMay 29, 2026 at 4:00 AM
—neutral

Uncertainty-Aware Transfer Learning for Cross-Building Energy Forecasting: Toward Robust and Scalable District-Level Energy Management

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2605.29733v1 Announce Type: new Abstract: Scaling data-driven energy forecasting to district level requires models that can be re-used across buildings with minimal target-domain data and honest uncertainty estimates. We present an uncertainty-aware transfer learning (TL) framework for cross-b

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Mentioned models
01
  • 01
    Temporal Fusion Transformer (TFT)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#energy-forecasting#transfer-learning#uncertainty-estimation#smart-buildings

No replies yet. Be first.

Mentioned models
01
  • 01
    Temporal Fusion Transformer (TFT)
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#energy-forecasting#transfer-learning#uncertainty-estimation#smart-buildings

Related coverage

More from ARXIV
arxivEvaluating Interactive Reasoning in Large Language Models: A Hierarchical Benchmark with Executable Games8harxivFrom Noise to Control: Parameterized Diffusion Policies8harxivMesh Field Theory: Port-Hamiltonian Formulation of Mesh-Based Physics8harxivModel-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture8h
The Bubble Brief
WEEKLY

Read energy-forecasting insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews