引用次数
引用: 618
H-指数: 12
I10-指数 : 15
出版物: 37
Vehicle to Grid communication - Monte Carlo simulations based on Automated Meter Reading reliability
Claes Sandels , Lars Nordström , Ulrik Franke
power systems computation conference
2
2011
Dataanalys och avancerade algoritmer : Möjligheter med utökad mätinfrastruktur
Andreas Nilsson , Claes Sandels , Mattias Persson
2018
Machine Learning in Hazardous Building Material Management: Research Status and Applications
Kristina Mjörnell , Mikael Mangold , Claes Sandels , Pei-Yu Wu
Recent Progress in Materials 03 ( 02) 1 -1
2021
Vehicle to grid: system reference architectures and Monte Carlo simulations
Claes Sandels , Ulrik Franke , Lars Nordström
International Journal of Vehicle Autonomous Systems 11 205 -228
2013
A seasonal ARIMA model with exogenous variables for elspot electricity prices in Sweden
Mengchen Xie , Claes Sandels , Kun Zhu , Lars Nordstrom
international conference on the european energy market 1 -4
10
2013
Stochastic evaluation of aggregator business models — Optimizing wind power integration in distribution networks
Quentin Lambert , Claes Sandels , Lars Nordstrom
power systems computation conference 1 -8
2
2014
Simulating occupancy in office buildings with non-homogeneous Markov chains for Demand Response analysis
Claes Sandels , Joakim Widen , Lars Nordstrom
power and energy society general meeting 1 -5
7
2015
A Local Market Model for Urban Residential Microgrids with Distributed Energy Resources
Aquil Jalia , Nicholas Honeth , Claes Sandels , Lars Nordstrom
hawaii international conference on system sciences 1949 -1958
17
2012
Vehicle to Grid — Monte Carlo simulations for optimal Aggregator strategies
Claes Sandels , Ulrik Franke , Niklas Ingvar , Lars Nordstrom
ieee international conference on power system technology 1 -8
45
2010
Empirical analysis for Distributed Energy Resources' impact on future distribution network
Xue Han , Claes Sandels , Kun Zhu , Lars Nordstrom
ieee international energy conference 731 -737
3
2012
Controlling a retailer's short-term financial risk exposure using demand response
Magnus Brolin , Claes Sandels
Iet Generation Transmission & Distribution 13 ( 22) 5160 -5170
2
2019
Clustering Residential Customers with Smart Meter data using a Data Analytic Approach – External Validation and Robustness Analysis
Claes Sandels , Marcus Kempe , Magnus Brolin , Anders Mannikoff
2019 9th International Conference on Power and Energy Systems (ICPES)
2019
Analyzing fundamental aggregation functions in power systems
Claes Sandels , Kun Zhu , Lars Nordstrom
ieee pes international conference and exhibition on innovative smart grid technologies 1 -7
2011
Modelling Framework and the Quantitative Analysis of Distributed Energy Resources in Future Distribution Networks
Xue Han , Claes Sandels , Kun Zhu , Lars Nordström
International Journal of Emerging Electric Power Systems 14 ( 5) 421 -431
6
2013
Using machine learning to enrich building databases : Methods for tailored energy retrofits
Jenny von Platten , Claes Sandels , Kajsa Jörgensson , Viktor Karlsson
Energies 13 ( 10) 2574
2020
Trustworthy Injection/Curtailment of DER in Distribution Network maintaining quality of Service
Shahid Hussain , Nicholas Honeth , Rune Gustavsson , Claes Sandels
international conference on intelligent system applications to power systems 1 -6
8
2011
Predicting the presence of hazardous materials in buildings using machine learning
Pei-Yu Wu , Claes Sandels , Kristina Mjörnell , Mikael Mangold
Building and Environment 213 108894
10
2022
A data-driven approach to assess the risk of encountering hazardous materials in the building stock based on environmental inventories
Pei-Yu Wu , Kristina Mjörnell , Mikael Mangold , Claes Sandels
Sustainability 13 ( 14) 7836 -7836
11
2021
Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks
Pei-Yu Wu , Tim Johansson , Mikael Mangold , Claes Sandels
Expert Systems with Applications 222 119812 -119812
3
2023
Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings
Pei-Yu Wu , Claes Sandels , Tim Johansson , Mikael Mangold
Resources, Conservation and Recycling 199 107253 -107253
2
2023