المؤلفون: Kenneth Leerbeck, Peder Bacher, Rune Grønborg Junker, Anna Tveit, Olivier Corradi, Henrik Madsen, Razgar Ebrahimy

المصدر: Energies, Vol 13, Iss 11, p 2851 (2020)

مصطلحات موضوعية: heat pumps, model predictive control (MPC), buildings, dynamic systems, CO2-emissions, electrical grid power, Technology

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1996-1073/13/11/2851; https://doaj.org/toc/1996-1073

URL الوصول: https://doaj.org/article/d0ba936097ff4923818e46232945005d

المؤلفون: Kenneth Leerbeck, Peder Bacher, Christian Heerup

المصدر: Leerbeck, K, Bacher, P & Heerup, C 2022, Grey Box Modelling of Supermarket Refrigeration Room . in Proceedings of the 2021 International Conference on Electrical, Computer and Energy Technologies . European Union, 2021 International Conference on Electrical, Computer and Energy Technologies, Cape Town, South Africa, 09/12/2021 . https://doi.org/10.1109/ICECET52533.2021.9698514

مصطلحات موضوعية: CO2 Refrigeration Systems, Grey Box Modelling, System Identification

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::543d539b3c09160072d0a2877f18c135
https://orbit.dtu.dk/en/publications/65cd32e5-966c-415e-86a6-9f1d1b75ce1b

المؤلفون: Kenneth Leerbeck, Peder Bacher, Christian Heerup, Henrik Madsen

مصطلحات موضوعية: FOS: Computer and information sciences, Control and Systems Engineering, Modeling and Simulation, FOS: Electrical engineering, electronic engineering, information engineering, Applications (stat.AP), Systems and Control (eess.SY), Electrical Engineering and Systems Science - Systems and Control, Statistics - Applications, Industrial and Manufacturing Engineering, Computer Science Applications

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5ab878603b3de5b0ff9f764b2af36b7

المؤلفون: Kenneth Leerbeck, Peder Bacher, Rune Grønborg Junker, Anna Tveit, Olivier Corradi, Henrik Madsen, Razgar Ebrahimy

المصدر: MDPI, Energies. 13(11):1-19

الإتاحة: https://ideas.repec.org/a/gam/jeners/v13y2020i11p2851-d366911.html

المؤلفون: Kenneth Leerbeck, Roland Tual, Silke Cuno, Yelena Vardanyan, Armin Wolf, Katerina Valalaki, Peder Bacher

المصدر: Vardanyan, Y, Wolf, A, Bacher, P, Valalaki, K, Leerbeck, K, Tual, R & Cuno, S 2021, Optimal coordinated bidding of a profit-maximizing heat pump aggregator: The Dutch case . in Proceedings of 2020 International Conference on Smart Grids and Energy Systems . IEEE, pp. 71-76, International Conference on Smart Grids and Energy Systems, Perth, Western Australia, Australia, 23/11/2020 . https://doi.org/10.1109/SGES51519.2020.00020

مصطلحات موضوعية: Consumption (economics), Profit (accounting), 020209 energy, 02 engineering and technology, 010501 environmental sciences, Bidding, computer.software_genre, 01 natural sciences, Aggregator, News aggregator, Incentive, Optimal bidding, 0202 electrical engineering, electronic engineering, information engineering, Market price, Portfolio, Electric power, Business, Heat pump units, computer, Industrial organization, 0105 earth and related environmental sciences

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b07cf9a4f118c0ca270a6e4299a05609
https://doi.org/10.5281/zenodo.4639708

المؤلفون: Ole Michael Jensen, Christoffer Rasmussen, Kenneth Leerbeck, Rongling Li, Henrik Madsen, Kim Bjarne Wittchen, Jaume Palmer Real

المصدر: Palmer Real, J, Rasmussen, C, Li, R, Leerbeck, K, Jensen, O M, Wittchen, K B & Madsen, H 2021, ' Characterisation of thermal energy dynamics of residential buildings with scarce data ', Energy and Buildings, vol. 230, 110530 . https://doi.org/10.1016/j.enbuild.2020.110530
Real, J P, Rasmussen, C, Li, R, Leerbeck, K, Jensen, O M, Wittchen, K B & Madsen, H 2021, ' Characterisation of thermal energy dynamics of residential buildings with scarce data ', Energy and Buildings, vol. 230, 110530 . https://doi.org/10.1016/j.enbuild.2020.110530

مصطلحات موضوعية: 020209 energy, 0211 other engineering and technologies, Data analysis, 02 engineering and technology, Thermal energy storage, Thermal building characterisation, Modelling, Demand response, Stochastic differential equation, 021105 building & construction, Thermal, 0202 electrical engineering, electronic engineering, information engineering, SDG 7 - Affordable and Clean Energy, Electrical and Electronic Engineering, Energy flexibility, Civil and Structural Engineering, business.industry, Mechanical Engineering, Linear model, Building and Construction, Heat transfer, Environmental science, Grid energy storage, business, Thermal energy, Marine engineering

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6146343ae55606b9489f58582503a4f8
https://vbn.aau.dk/ws/files/465270377/Characterisation_of_thermal_energy_dynamics_of_residential_buildings_with_scarce_data.pdf

المؤلفون: Razgar Ebrahimy, Kenneth Leerbeck, Olivier Corradi, Anna Tveit, Peder Bacher, Henrik Madsen, Goran Goranovic, Rune Grønborg Junker

المصدر: Leerbeck, K, Bacher, P, Junker, R G, Goranović, G, Corradi, O, Ebrahimy, R, Tveit, A & Madsen, H 2020, ' Short-term forecasting of CO 2 emission intensity in power grids by machine learning ', Applied Energy, vol. 277, 115527, pp. 13 . https://doi.org/10.1016/j.apenergy.2020.115527

مصطلحات موضوعية: Electrical power grids, 020209 energy, Feature selection, 02 engineering and technology, LASSO, Management, Monitoring, Policy and Law, ARIMA, Machine learning, computer.software_genre, 020401 chemical engineering, Lasso (statistics), Linear regression, 0202 electrical engineering, electronic engineering, information engineering, Autoregressive–moving-average model, Autoregressive integrated moving average, 0204 chemical engineering, Mathematics, business.industry, Mechanical Engineering, CO emission forecasting, Building and Construction, Bidding, General Energy, Softmax function, Electric power, Artificial intelligence, business, computer

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::562fb7e4b4128db2c1b793354c1f37d6
https://orbit.dtu.dk/en/publications/6bbbf0bb-cdcd-459b-8ed3-cd2570c4aad2

المؤلفون: Anna Tveit, Rune Grønborg Junker, Olivier Corradi, Peder Bacher, Razgar Ebrahimy, Kenneth Leerbeck, Henrik Madsen

المصدر: Energies
Energies, Vol 13, Iss 2851, p 2851 (2020)
Energies; Volume 13; Issue 11; Pages: 2851
Leerbeck, K, Bacher, P, Junker, R G, Tveit, A, Corradi, O & Madsen, H 2020, ' Control of heat pumps with CO 2 emission intensity forecasts ', Energies, vol. 13, no. 11, 2851 . https://doi.org/10.3390/en13112851

مصطلحات موضوعية: Control and Optimization, model predictive control (MPC), 020209 energy, Electrical grid power, Energy Engineering and Power Technology, 02 engineering and technology, Astrophysics::Cosmology and Extragalactic Astrophysics, electrical grid power, 010501 environmental sciences, Dynamic systems, 01 natural sciences, lcsh:Technology, Automotive engineering, law.invention, heat pumps, buildings, dynamic systems, CO2-emissions, Heat pumps, law, Range (aeronautics), 0202 electrical engineering, electronic engineering, information engineering, Thermal mass, Buildings, Electrical and Electronic Engineering, Engineering (miscellaneous), Physics::Atmospheric and Oceanic Physics, 0105 earth and related environmental sciences, Flexibility (engineering), Renewable Energy, Sustainability and the Environment, lcsh:T, CO-emissions, Emission intensity, Model predictive control, Heating system, Electricity generation, Environmental science, Energy (miscellaneous), Heat pump

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb85dd38692a422a00632d096eb94258
https://hdl.handle.net/11250/3018522