PROCEEDINGS FROM SCIENTIFIC CONFERENCE ON GREEN ENERGY AND IT
Bibliographic record
Abstract
Scientific session on Energy saving and Green energy Chairman: Erik Dahlquist, Mälardalen University 1. Investigations on CO2 absorption using amine solvents in hollow fiber membrane contactors by experiments . Yuexia Lv1, Xinhai Yu1*, Shan-tung Tu1, J. Yan2, E. Dahlquist2,School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, 200237, China; 2. Dept. IST, Mälardalen University, Västerås, Sweden 2. Intensification of transesterification for synthesis of biodiesel using microchannel reactors. Zhenzhong Wen1, Xinhai Yu1*, Shan-tung Tu1, J. Yan2, E. Dahlquist2 1. School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, 200237, China; 2. Dept. IST, Mälardalen University, Västerås 3. Continuous bioethanol production by fermentation . Bernt Lie, Juan I. Videla.Telemark University College, Porsgrunn, Norway 4. Optimization and Economic Analysis of Marnoch Thermal Energy Conversion System, C.C. Chukwu1, G.F Naterer2, M.A. Rosen3, E. Dahlquist4 I.A Marnoch5 ,1,2,3,4 University of Ontario Institute of Technology, Oshawa. Ontario, Canada, 4 Malardalen University, Vasteras Sweden, 5 Marnoch Thermal Power Inc. Toronto, Ontario, Canada, 5. Analysis of the coal based polygeneration system of hybrid type Guoqiang Zhang1,2, Lin GAO1, Hongguang JIN1,* 1 Institute of Engineering Thermophysics, Chinese Academy of Sciences 6. Power transformer parameters identification using extended kalman filter Kourosh Mousavi Takami, TDI researcher and phd student in Malardalen University , Jafar Mahmoudi , Erik Dahlquist, Malardalen University 7. An advanced energy saving method for Aluminium - iron - copper bonding using explosive welding Scientific session on Energy savings in houses Chairman: Jurek Pyrko, Lund University . Mohammad Tabatabaee. TDI institute, Teheran, Iran and Mälardalen University 8. Design of hot water user profiles for Swedish households based on time diaries. 751 21 Uppsala, Sweden Magdalena Lundh, Ewa Wäckelgård, Kajsa Ellegård. Department of Engineering Sciences The Ångström Laboratory Box 534 9. Modeling Household Electricity Load from Time-Use Data . Joakim Widén, Kajsa Ellegård och Ewa Wäckelgård. Department of Engineering Sciences,Solid State Physics,Uppsala University 10. Investigation of electricity consumption in single houses with electrical heating alone and together with complementary heating systems . Cajsa Bartusch, Fredrik Wallin, Erik Dahlquist, Mälardalen University. 11. Differences in electricity and hot water consumption in apartments of different sizes. Iana Vassileva, Cajsa Bartusch, Erik Dahlquist. Mälardalen University. 12. Novel Architect Designs Energy-Saving Iranian Homes . S.M. Esmail Mousavi-Takami, TDI Technical Development Institute, Teheran, Iran 13. Inform me please! - Energy use information to households and Demand Response . Jurek Pyrko, Energy Sciencees, Lunds University 14. "Consumers, energy and IT. IT and other tools to support efficient energy consumption" I.C. MariAnne Karlsson Chalmers University of Technology, Product and Production Development 15. Influence of Residential Ventilation on Radon Mitigation with Energy Saving emphasis Keramatollah Akbari, Mälardalen University and TDI in Teheran, Iran 16 . Extracting alumina from bauxite ore in jajarm factory process simulation using aspen software Mohammad Farrokh and Jafar Mahmoudi, Mälardalen University and TDI in Teheran, Iran 17. Description of techniques for hot spot monitoring and detection in power transformers Hassan gholinejad, Kourosh Mousavi Takami and Jafar Mahmoudi, Mälardalen University and Tanesh Company, Iran
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".