Research Archive
Publications & Data Archive
Citable research, datasets, and infrastructure intelligence produced by the Saral Systems Council, an independent research institute focused on energy systems, infrastructure analytics, and emerging technologies.
All research outputs are published with permanent landing pages and structured metadata. Where applicable, publications are registered with a Digital Object Identifier (DOI) to ensure persistent citation and discoverability.
DOI-Registered Publications
Persistent identifiers
ISSN Journal Archive
India Data Center Review
Versioned Research Datasets
Reproducible data
Permanent Citation Links
Stable landing pages
Browse by Collection
Archive Collections
India Data Center Review
ISSN Journal
Annual peer-reviewed publication examining the growth of data center infrastructure, energy demand, and digital connectivity across India.
- Infrastructure capacity analysis
- Power demand projections
- Regional data center clusters
- Fiber and submarine cable connectivity
- Cooling technologies and grid integration
Each article is published with DOI and citation metadata.
View Journal ArchiveWorking Papers & Research
DOI-Registered
Saral Systems Council publishes research papers across several domains for rapid dissemination of findings prior to journal publication.
- Energy infrastructure and power systems
- Energy geopolitics and grid interconnections
- Robotics and intelligent systems
- Artificial intelligence applications
- Quantum computing and advanced computation
Working papers allow rapid dissemination of research findings prior to journal publication.
Browse Research PapersInfrastructure Datasets & Atlas
Versioned Data
The India Energy Infrastructure Atlas provides structured datasets describing the physical systems powering India's digital and energy economy.
- Transmission networks
- Power plants
- Submarine cable landing stations
- Fiber backbone routes
- Data center infrastructure
Each dataset includes metadata documentation, version history, citation format, and download links (CSV, GeoJSON).
Explore Infrastructure AtlasTools & Analytical Platforms
Public & Member
Analytical tools that support infrastructure research, from grid topology visualization to scenario analysis.
- Grid topology visualization
- Regional infrastructure maps
- Energy infrastructure datasets
- Scenario analysis tools
Some tools are publicly accessible. Advanced datasets and tools are available to research members.
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Latest Records
Recent Publications & Datasets
All outputs are assigned persistent identifiers and maintained as permanent records.
| Type | Title | Authors | Year | DOI | Access | Version |
|---|---|---|---|---|---|---|
| Working Paper | India's Submarine Cable Infrastructure and Data Center Geography | Sayonsom Chanda | 2026 | 10.xxxx/ssc-wp-2026-001 | Public PDF | v1.0 |
| Working Paper | Vision-Language-Action Models for Sewer Inspection Robotics in India | Sayonsom Chanda | 2026 | 10.xxxx/ssc-wp-2026-002 | Public PDF | v1.0 |
| Journal Article | India Data Center Review 2026: Regional Energy Demand Outlook | Multiple Authors | 2026 | 10.xxxx/ssc-idcr-2026-001 | Abstract public | v1.0 |
| Technical Paper | Hybrid Quantum-Classical Optimization for 118-Bus Power Systems | Sayonsom Chanda | 2026 | 10.xxxx/ssc-tp-2026-001 | Public PDF | v1.0 |
| Working Paper | SmolVLA-SewerBot: A Compact Vision-Language-Action Model for Autonomous Sewer Inspection in Resource-Constrained Environments | Sayonsom Chanda | 2026 | 10.xxxx/ssc-wp-2026-003 | Public PDF | v1.0 |
| Working Paper | Embodiment-Aware Intent Transfer for Hazardous Labour Substitution: From Simulation to Indian Field Conditions | Sayonsom Chanda | 2026 | 10.xxxx/ssc-wp-2026-004 | Public PDF | v1.0 |
India's Submarine Cable Infrastructure and Data Center Geography
Vision-Language-Action Models for Sewer Inspection Robotics in India
India Data Center Review 2026: Regional Energy Demand Outlook
Hybrid Quantum-Classical Optimization for 118-Bus Power Systems
SmolVLA-SewerBot: A Compact Vision-Language-Action Model for Autonomous Sewer Inspection in Resource-Constrained Environments
Embodiment-Aware Intent Transfer for Hazardous Labour Substitution: From Simulation to Indian Field Conditions
Citation Guide
How to Cite Saral Publications and Datasets
All Saral research outputs are designed to be cited in academic and policy publications. Use the citation format provided on each landing page, or follow the standard formats below.
Research Paper Citation
Author (Year). "Paper Title." Saral Systems Council Working Paper SSC-WP-YYYY-NNN. DOI: 10.xxxx/ssc-wp-yyyy-nnn
Dataset Citation
Author or Organization (Year). Dataset Title. Saral Systems Council. Version X.X. DOI: 10.xxxx/ssc-data-yyyy-nnn
Example
Saral Systems Council (2026). India Submarine Cable Landing Stations Dataset. Version 1.0. DOI: 10.xxxx/ssc-data-2026-001
Standards
Publication Standards
Saral Systems Council maintains a structured research archive designed for long-term discoverability and citation.
- Permanent landing page for every publication
- Structured metadata for search engine indexing
- DOI registration when applicable
- Author and institutional attribution
- Version control for datasets
- Downloadable source materials
All datasets include documentation describing sources, methodology, and limitations.
Access Policy
Data Access
Saral publishes infrastructure datasets with a tiered access model.
Public Access
- Research papers and abstracts
- Selected datasets and samples
- Metadata and documentation
Member Access
- Full infrastructure datasets
- High-resolution geospatial layers
- Analytical tools and APIs
Membership supports the continued development of open research infrastructure.
Learn about membershipArchive Governance
Saral Systems Council maintains this archive as part of its research mission. The archive adheres to the following principles.
Permanent Citation Links
Every DOI resolves to a maintained landing page
Transparent Metadata
Schema.org structured data for all outputs
Versioned Datasets
All data releases are versioned and documented
Reproducible Research
Source data and methodology are published openly