7 citations · 10 across the 6 of their papers we have counts for
7 papers
Estimation of Building Energy Demand Characteristics using Bayesian Statistics and Energy Signature Models
Justinas Smertinas, Nicolaj Hans Nielsen, Matthias Y. C. Van Hove +2
This work presents a scalable Bayesian modeling framework for evaluating building energy performance using smart-meter data from 2,788 Danish single-family homes. The framework lev…
A step towards digital operations -- A novel grey-box approach for modelling the heat dynamics of Ultra-low temperature freezing chambers
Tao Huang, Peder Bacher, Jan Kloppenborg Møller +2
Ultra-low temperature (ULT) freezers store perishable bio-contents and have high energy consumption, which highlight a demand for reliable methods for intelligent surveillance and…
Estimation of Evaporator Valve Sizes in Supermarket Refrigeration Cabinets
Kenneth Leerbeck, Peder Bacher, Christian Heerup +1
In many applications, e.g. fault diagnostics and optimized control of supermarket refrigeration systems, it is important to determine the heat demand of the cabinets. This can easi…
onlineforecast: An R package for adaptive and recursive forecasting
Peder Bacher, Hjörleifur G. Bergsteinsson, Linde Frölke +6
Systems that rely on forecasts to make decisions, e.g. control or energy trading systems, require frequent updates of the forecasts. Usually, the forecasts are updated whenever new…
Control of heat pumps with CO2 emission intensity forecasts
Kenneth Leerbeck, Peder Bacher, Rune Grønborg +3
An optimized heat pump control for building heating was developed for minimizing CO2 emissions from related electrical power generation. The control is using weather and CO2 emissi…
Short-Term Forecasting of CO2 Emission Intensity in Power Grids by Machine Learning
Kenneth Leerbeck, Peder Bacher, Rune Junker +5
A machine learning algorithm is developed to forecast the CO2 emission intensities in electrical power grids in the Danish bidding zone DK2, distinguishing between average and marg…
Load Forecasting of Supermarket Refrigeration
Lisa Buth Rasmussen, Peder Bacher, Henrik Madsen +3
This paper presents a study of models for forecasting the electrical load for supermarket refrigeration. The data used for building the models consists of load measurements, local…