Start Here (Top 3 Signals)
If you only follow three sources to understand real energy momentum:
- IEA → long-term scenarios and system modelling
- Ember → near real-time electricity transition data
- Rho Motion / BMI → EV, battery, and storage market momentum
These three alone tell you where the system is going, how fast it’s moving, and what’s actually being built.
This page curates the primary data sources, research bodies, and intelligence platforms used across EV Curve Futurist. The focus is on energy as the base layer of civilisation, electrification, storage, materials, AI, and system-level disruption.
Sources are grouped deliberately: primary signal, deployment data, and contextual analysis — to separate structure from narrative noise.
How to Read This Page
- Primary Signal → authoritative data, system modelling, and long‑range scenarios grounded in physics and economics
- Deployment Data → what is actually being built, sold, installed, and connected to grids
- Context & Narrative → commentary and interpretation; useful for colour, never decisive
If a source does not track real capacity, real costs, or real build rates, it does not drive conclusions here.
Why I Trust These Sources
These sources are selected for one reason: they track reality, not wishful thinking.
I prioritise organisations that:
- publish transparent methodologies
- revise data when wrong
- track physical deployment (GW, GWh, units sold)
- understand cost curves, not ideology
Energy transitions are not decided by opinion — they are decided by economics, scale, and build rates.
What I Deliberately Ignore
Some sources are intentionally excluded, regardless of popularity:
- opinion-first commentary without data
- think tanks anchored to legacy fuel narratives
- long-term forecasts that ignore cost curves or learning rates
- analysis that treats electrification as optional rather than inevitable
If a source cannot explain why the system must change — and how fast — it’s not signal.
Global Energy Systems & Forecasting (Primary Signal)
(System-level modelling, scenarios, and long-range direction)
- International Energy Agency (IEA)
Global authority on energy data, forecasts, and technology outlooks (World Energy Outlook, Energy Technology Perspectives, EV datasets). - International Renewable Energy Agency (IRENA)
Deep analysis of renewable deployment, energy transitions, system integration, and critical materials. - Ember Energy
Independent, data-driven analysis tracking the global electricity transition in near real time.
Grid, Digitalisation & Smart Energy Systems
(How electricity becomes software, automation, and intelligence)
- IEA – Smart Grids & Electricity Systems
Grid flexibility, digitalisation, and reliability in high-renewables systems. - IRENA – Digitalisation & AI for Power Systems
AI-enabled forecasting, automation, and system optimisation. - Sector Coupling / Power-to-X
Integrating electricity with transport, heat, and industry for system-wide efficiency. - GridLAB-D
Open-source modelling for smart grids and distributed energy systems.
Batteries, Materials & Energy Storage
(The physical bottlenecks and enablers of electrification)
- Batteries News
Updates on battery technologies, chemistries, and storage developments. - IRENA – Critical Materials for EV Batteries
Supply chains, demand growth, and material risk analysis. - Benchmark Mineral Intelligence
Market intelligence and forecasts covering EVs, batteries, charging, BESS, recycling, and AI-driven storage demand.
Electric Vehicles & Electrification
(Adoption curves, unit economics, and real-world rollout)
- EV-Volumes
Global EV sales data by region, powertrain, and manufacturer. - IEA – Global EV Data Explorer
Interactive global EV statistics and datasets. - InsideEVs
Comprehensive EV news, reviews, and market coverage. - The Driven
Australia-focused EV and energy transition reporting. - CNEV Post – BYD
China and BYD-specific EV industry news. - NRMA – EV Myths
Evidence-based debunking of common EV misconceptions.
Automotive Industry & Manufacturing
(Legacy vs disruptor dynamics, with China as the centre of gravity)
- CarNewsChina
Coverage of Chinese vehicles, OEMs, and market trends. - Auto News China
Reporting on China’s automotive sector. - Dunne Insights
Expert analysis of the Chinese auto market and global competition. - OICA – Sales & Production Statistics
Global vehicle production and sales data. - MarkLines
Automotive industry intelligence, supply chains, and OEM trends.
Market Intelligence & Disruption Frameworks
(Cost curves, S-curves, and system-level disruption)
- RethinkX
Research on technology disruption, cost curves, and S-curve adoption. - CleanTechnica
Clean energy and EV reporting (used for narrative context, not primary data). - Renew Economy
Australian renewable energy policy, markets, and analysis.
How These Resources Are Used
(How signal is separated from noise)
- Structural signal & scenarios: IEA, IRENA, Ember
- Real‑world deployment & momentum: Rho Motion, EV‑Volumes, IEA EV data
- Materials & supply chains: IRENA, Rho Motion
- Automotive disruption: China‑focused sources + OICA / MarkLines
- Narrative context: CleanTechnica, Renew Economy
These sources help distinguish signal from noise, identify inflection points, and track which systems, nations, and technologies are ascending — and which are being outcompeted.
History is clear: empires do not usually collapse from invasion — they decline when they lose the ability to expand energy throughput cheaply, domestically, and at scale. This resource stack exists to track that momentum in real time.
Policy, Regulation & Market Rules
(Accelerators and brakes on otherwise inevitable transitions)
- BloombergNEF – Policy & Regulation
Global tracking of energy, EV, and climate policy, showing how regulation accelerates or constrains real-world deployment and capital formation. - Transport & Environment
Europe-focused transport and energy policy analysis, useful for understanding regulatory drag and acceleration.
General Disclaimer
The material on EV Curve Futurist is provided for information and analysis only. It reflects a system‑level, evidence‑driven view of technological and energy transition dynamics, not personal financial advice. Markets are volatile, transitions are non‑linear, and data evolves. Readers should perform their own due diligence, verify primary sources, and make independent decisions appropriate to their circumstances.