Robust Building Energy Load Forecasting Using Physically-Based Kernel Models

Robust Building Energy Load Forecasting Using Physically-Based Kernel Models

Robust and accurate building energy load forecasting is important for helping building managers and utilities to plan, budget, and strategize energy resources in advance. With recent prevalent adoption of smart-meters in buildings, a significant amount of building energy consumption data became avai...

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Bibliographic Details
Main Authors: Anand Krishnan Prakash, Susu Xu, Ram Rajagopal, Hae Young Noh
Format: Article
Language:English
Published: MDPI AG 2018-04-01
Series:Energies
Subjects:
building energy load forecasting
Gaussian Process Regression
Kernel Model
HVAC load
lighting load
Online Access:http://www.mdpi.com/1996-1073/11/4/862

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