Indoor radon interval prediction in the Swedish building stock using machine learning

Pei-Yu Wu , Tim Johansson , Claes Sandels , Mikael Mangold
Building and Environment 245 110879 -110879

2
2023
Modeling artificial neural networks to predict asbestos-containing materials in residential buildings

Pei-Yu Wu , Mikael Mangold , Claes Sandels , Tim Johansson
IOP Conference Series: Earth and Environmental Science 1122 ( 1) 012050 -012050

2
2022
Tracing hazardous materials in registered records: a case study of demolished and renovated buildings in Gothenburg

Pei-Yu Wu , Kristina Mjörnell , Mikael Mangold , Claes Sandels
Journal of Physics: Conference Series 2069 ( 1) 012234 -012234

2
2021
Evaluating the indoor radon concentrations in the Swedish building stock using statistical and machine learning

Pei-Yu Wu , Tim Johansson , Mikael Mangold , Claes Sandels
Journal of Physics: Conference Series 2654 ( 1) 012086 -012086

1
2023
Vehicle to grid—reference architectures for the control markets in Sweden and Germany

Claes Sandels , Ulrik Franke , Niklas Ingvar , Lars Nordström
2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) 1 -8

18
2010
Assessment of congestion management potential in distribution networks using demand-response and battery energy storage

Daniel Brodén , Claes Sandels , Lars Nordström
Innovative Smart Grid Technologies, February 17-20, 2015 Washington DC, USA

4
2015
Household aggregators development for demand response in europe

Gaspard Lebel , Claes Sandels , Lars Nordström , Sandra Grauers
KTH

4
2012
Aggregator strategy for planning demand response resources under uncertainty based on load flexibility modeling

Kaveh Paridariy , Lars Nordström , Claes Sandels
Smart Grid Communications (SmartGridComm), 2017 IEEE International Conference on

7
2017
Vehicle to Grid system reference architectures and Monte Carlo simulations

Lars Nordström , Ulrik Franke , Claes Sandels
International Journal of Vehicle Autonomous Systems

2011
Modeling office building consumer load with a combined physical and behavioral approach: Simulation and validation

C. Sandels , D. Brodén , J. Widén , L. Nordström
Applied Energy 162 472 -485

14
2016
60
2014
TECHNICAL ANALYSIS OF AN AGGREGATOR'S OPERATION FOR THE GOTLAND POWER SYSTEM

F. Baccino , S. Massucco , L. Nordstrom , C. Sandels
22nd International Conference and Exhibition on Electricity Distribution, CIRED 2013; Stockholm; Sweden; 10 June 2013 through 13 June 2013 0959 -0959

2013
Day-Ahead Predictions of Electricity Consumption in a Swedish Office Building from Weather, Occupancy, and Temporal data

C. Sandels , J. Widén , L. Nordström , E. Andersson
Energy and Buildings 108 279 -290

35
2015
Analysis on the profitability of demand flexibility on the swedish peak power reserve market

C. Sandels , M. Hagelberg , L. Nordstrom
ieee pes innovative smart grid technologies conference 1 -6

4
2013
Domestic heat load aggregation strategies for wind following in electric distribution systems

F. Baccino , S. Massucco , C. Sandels , L. Nordstrom
power and energy society general meeting 1 -5

5
2013
End-user scenarios and their impact on distribution system operators

C Sandels , J Widén
Energiforsk, Stockholm, Sweden

5
2018