ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2202.02898
  4. Cited By
Gradient boosting machines and careful pre-processing work best: ASHRAE
  Great Energy Predictor III lessons learned

Gradient boosting machines and careful pre-processing work best: ASHRAE Great Energy Predictor III lessons learned

7 February 2022
Clayton Miller
Liu Hao
Chunlei Fu
    AI4CE
ArXivPDFHTML

Papers citing "Gradient boosting machines and careful pre-processing work best: ASHRAE Great Energy Predictor III lessons learned"

3 / 3 papers shown
Title
S4ConvD: Adaptive Scaling and Frequency Adjustment for Energy-Efficient Sensor Networks in Smart Buildings
S4ConvD: Adaptive Scaling and Frequency Adjustment for Energy-Efficient Sensor Networks in Smart Buildings
Melanie Schaller
Bodo Rosenhahn
36
0
0
28 Feb 2025
TRIZ Method for Urban Building Energy Optimization: GWO-SARIMA-LSTM
  Forecasting model
TRIZ Method for Urban Building Energy Optimization: GWO-SARIMA-LSTM Forecasting model
Shirong Zheng
Shaobo Liu
Zhenhong Zhang
Dian Gu
Chunqiu Xia
Huadong Pang
Enock Mintah Ampaw
38
3
0
20 Oct 2024
Creating synthetic energy meter data using conditional diffusion and
  building metadata
Creating synthetic energy meter data using conditional diffusion and building metadata
Chun Fu
Hussain Kazmi
Matias Quintana
Clayton Miller
DiffM
38
9
0
31 Mar 2024
1