Advanced energy technologies, methods, and policies to support the sustainable development of energy, water and environment systems
Bibliographic record
Abstract
This editorial discusses the contributions of the papers belonging to the virtual special issue (VSI) of Energy Reports dedicated to the series of four SDEWES Conferences on Sustainable Development of Energy, Water and Environment Systems held in Cologne (Germany), Sarajevo (Bosnia and Herzegovina), Gold Coast (Australia) and Buenos Aires (Argentina) in 2020. High quality review papers and original research articles presented at the SDEWES Conferences relevant to the Journal are included in this VSI for a total of 20 accepted articles invited by the Guest Editors. Published papers deal with key research topic related to clean energies, advance energy technologies, building-plant design solutions, energy management measures, policies and regulations capable to ensure that all countries and regions develop and implement expertise and technologies to tackle climate change and make progress towards a net zero energy economy. Such a complex goal poses some major challenges and calls for the effort of scientists and stakeholders to commit to develop and carry out multidisciplinary approaches towards the sustainable development of modern cities for a decarbonized economy. This process is also crucial for achieving a successful and just energy transition, necessary to reduce sources of conflict and iniquity typical of geopolitical tensions, to avoid causes of uncertainty in the long run to the sustainable development Agenda, towards energy security, environmental protection, and the affordability of energy. In this framework, the Sustainable Development of Energy, Water and Environment Systems Series Conference represents a platform for the development of inter-sectoral collaborations among scientists and stakeholders and it promotes the development and improvements of advanced energy technologies and systems for the sustainable and just transition. The SDEWES Conferences brought together around 1000 researchers from all over the world working in the field of the sustainable development. According to the papers published in the VSI of Energy Reports dedicated to SDEWES Conferences, the editorial is subdivided in several sections based on the relevant topics on which the VSI papers are focused: renewable technologies for the energy efficiency of buildings and communities, advanced technologies and tools for the energy efficient design of buildings and systems, challenges and opportunities of policies and regulations to support the energy transition and meet the sustainable development targets.
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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.015 | 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".