Latest advancements and challenges of technologies and methods for accelerating the sustainable energy transition
Bibliographic record
Abstract
This editorial discusses the contributions of the papers belonging to the virtual special issue (VSI) of Energy Reports dedicated to 16th Sustainable Development of Energy, Water and Environment Systems (SDEWES) Conference held in Dubrovnik on 10–15 October, 2021. Original research articles presented at the SDEWES Conference relevant to the Journal are included in this VSI for a total of 27 accepted papers among those invited by the Guest Editors. Accepted papers deal with key research topic related to the scope of the conference, such as energy, water, and environmental systems, meeting the aim and scope of Energy Reports. The main topics of this VSI cover innovative and renewable energy technologies, building-plant design solutions and simulation tools for the early design of sustainable buildings and communities, energy management strategies, clean fuels and energy conservation measures. The latest advancements and challenges to accelerate the mitigation of climate change towards a net zero energy economy are discussed in detail. The VSI collects the most relevant contributions of researchers committed to develop novel energy solutions and multidisciplinary approaches towards the sustainable development, crucial to ensure a just energy transition and, simultaneously, to reduce sources of conflict and iniquity typical of geopolitical tensions. The final goal of the effort of academia, industry and institution is to support the sustainable development towards a cleaner environment, energy security, and social equity. To this goal, the Sustainable Development of Energy, Water and Environment Systems (SDEWES) Conference represents a platform for the development of inter-sectoral collaborations among scientists and stakeholders. The SDEWES Conference brought together around 630 scientists, researchers, and experts in the field of sustainable development from 58 Countries. According to the papers published in the VSI of Energy Reports dedicated to 16th SDEWES Conference, the editorial is split in several sections based on the relevant topics dealt by the VSI paper, such as: energy efficiency in buildings: measures and methods, solar based technologies for building applications, development and use of building energy performance simulation tools, energy communities and urban modelling, clean fuels and sustainable use of natural resources and energy saving practices.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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 source (direct Gemma or distilled Codex), 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".