Opening Address
Sets the frame for the day's agenda and priorities — worth attending to see which market signals (policy, funding, technology) organizers flag as most urgent for the year ahead.
Summary written by Chargalytics. The full article is on the publisher’s site.
Read the full articleAll 22 sessions across 1 stages. Speakers link to their ChargiPedia profiles; the context notes are ours, built from our own market data and news archive.
All times are Singapore local time, UTC+8.
Sets the frame for the day's agenda and priorities — worth attending to see which market signals (policy, funding, technology) organizers flag as most urgent for the year ahead.
Nordic CPOs have had roaming, dynamic pricing and battery-buffered hubs in commercial operation for years while most APAC markets are still running isolated forecourt sites — the gap in unit economics between the two models is the real story here. Anyone building a business case for APAC charging networks needs to know which Nordic mechanisms actually transfer versus which depend on Nordic-specific grid tariffs and EV penetration rates.
Distilling the market design and business model lessons from five years of Nordic EV charging operations; contrasting the Nordic hub-scale model with APAC's fragmented forecourt approach; quantifying the role of battery storage, dynamic pricing, and roaming in improving CPO unit economics
Direct line to test whether the Nordic hub-scale model survives contact with APAC land costs, grid access rules, and fragmented utility structures.
Site selection is still done ad hoc in most markets, yet this work claims 95.24% validated accuracy and 37% shorter travel distances by combining coverage-maximization (MCLP) with equity-of-access (2SFCA) modeling — a rare case of a siting method being tested against real deployments rather than just simulated. Planners and CPOs deciding where to spend limited capex should care about whether this generalizes beyond Bucheon and Jeju's density and demographic profile.
Optimising EV charging site selection by combining MCLP efficiency and 2SFCA equity models; validating optimal site decisions with Korea Conformity Laboratories testing at 95.24 percent accuracy; revealing up to 37 percent shorter travel distances to chargers in Bucheon and Jeju pilots; incorporating real-world EV registration and vehicle-type data to refine deployment scale
Key question: does this GIS-based method hold up in low-density or lower-EV-penetration markets, or does it require Korea-level registration data granularity to work?
Megawatt charging is the bottleneck standing between fast DC networks and electrified heavy trucking/fleet operations, and grid capacity — not charger hardware — is usually the binding constraint. The pitch for distributed power architecture matters because it reframes the problem as one of flexible power-sharing rather than raw substation upgrades, which changes the capex conversation for site owners.
Deploying distributed power systems to scale charging infrastructure with demand-responsive flexibility; harnessing megawatt charging to extend electrification into heavy transport and beyond-road mobility; architecting high-power charging solutions to bridge grid constraints and rising fleet demand
Worth pressing on real-world grid interconnection timelines and costs for MW-class sites — the numbers that actually determine whether this scales beyond pilot deployments.
Power stage material choice (Si vs SiC vs GaN, with diamond on the horizon) directly drives charger size, efficiency losses, and bill-of-materials cost — the variables that determine site economics at scale. Operators sequencing hardware refresh cycles need a clear-eyed view of when each material actually pays back versus incumbent silicon designs.
Pinpointing cost and size trade-offs as chargers shift from silicon to SiC and GaN power stages; positioning silicon, SiC, GaN, and diamond against AC, DC fast, and high-frequency charging tiers; recalibrating adoption timing and TCO curves for operators as semiconductor materials mature
The question that matters: at what deployment volume and site duty-cycle does SiC/GaN's premium actually amortize versus staying on silicon?
Emerging markets are trying to build EV charging, generation, and grid capacity simultaneously with limited capital — AI-driven scenario modeling is being pitched as the way to sequence investment and de-risk bankability for utilities and financiers. The real test is whether this modeling approach changes actual project financing outcomes, not just forecasting accuracy.
Forecasting EV charging demand and network constraints through AI-driven modelling; coordinating investment across transport, power, renewables, and storage in emerging markets; prioritising bankable projects through scenario analysis for utilities, governments, and investors
Mohamed Soliman
Energy Exemplar
Push on what data inputs this modeling assumes are available — many emerging markets lack the grid and EV telemetry needed to run these forecasts reliably.
India, Indonesia, and Thailand each scaled public charging under very different grid maturity, subsidy, and OEM conditions, making their roaming and interoperability approaches a useful stress-test for what actually works without Western-market infrastructure assumptions. Relevant for anyone building networks in other price-sensitive, infrastructure-constrained markets looking for proof points rather than theory.
Tracing how India, Indonesia, and Thailand have scaled public charging networks and the techniques each market used; decoding interoperability across charging networks in these countries and the OEM innovation driving roaming; distilling on-the-ground proof points the rest of the world can borrow from Asia's EV charging push
Emerging Southeast and South Asian markets face a different scaling problem than mature ones: grid capacity, informal charging habits, currency risk, and subsidy dependence all cut against a copy-paste rollout playbook. Without named speakers or a stated agenda, the value of this Q&A hinges on whether it addresses concrete deployment blockers — permitting timelines, tariff structures, hardware sourcing — rather than generic growth narratives. CPOs and investors eyeing these markets should listen for specifics on unit economics, not just addressable-market size.
Multi-dwelling unit charging is the segment where most residential EV rollouts stall, since body corporates rarely have the capital or mandate to size infrastructure for peak future demand. Milne's framing — tiering AC trickle, AC destination, and DC fast charging against actual dwell times, then layering dynamic load management and VPP participation — is the practical answer to underbuilt or overbuilt MDU sites. Anyone specifying charging for apartment or strata developments should care about how load management converts a stranded-capacity risk into a grid revenue stream.
Untangling the balancing act between resident demand, building capacity, and cost in MDU charging; combining tiered AC trickle, AC destination, and DC fast charging to match resident dwell times; transforming EV charging into a valuable grid asset via dynamic load management and VPP integration
Brett Milne
Virtual Watt
Follow-on to the MDU session, this Q&A should pressure-test whether VPP integration actually pencils out for body corporates today or remains a future-value story used to justify current capex. Worth attending for anyone deciding whether to size residential infrastructure for present demand or bake in VPP-readiness now at extra cost.
Standard conference opener — useful mainly for framing the day's regional focus and any headline market data the organizers choose to lead with.
Battery swapping keeps resurfacing in SEA precisely because fixed EVSE struggles with utilization and capex payback in markets with high two/three-wheeler density and inconsistent grid reliability — this is the core tension Prasad's session should resolve with market-by-market regulatory and adoption data. The real question for CPOs and infrastructure investors is whether swapping is a parallel channel worth partnering into or a competitive threat to charging-network business cases in two/three-wheeler-heavy markets like Indonesia and Vietnam.
Unpacking why traditional EV charging infrastructure in SEA struggles to achieve profitability at scale; profiling battery swapping adoption across key SEA markets and the regulatory conditions shaping uptake; weighing whether battery swapping complements or displaces conventional EVSE charging in SEA
Akshay Prasad
Arthur D. Little
The follow-up worth watching for is regulatory: whether governments in SEA are standardizing battery formats and swapping station siting, since fragmentation here directly determines whether swapping scales past pilot fleets into a viable alternative to plug-in charging.
Charging profitability increasingly depends on treating sites as retail/footfall assets rather than pure utility infrastructure, and Salleh's session — grounded in CDG ENGIE's operator experience — should quantify how driver data translates into siting ROI and roaming revenue decisions. Property owners and CPOs negotiating host agreements should care about the shift from roaming-as-technical-interop to roaming-as-commercial-lever, since that changes who captures margin on shared demand.
Translating driver profiling into siting and revenue decisions for charge point operators; reframing charging infrastructure as a footfall and dwell-time asset for high-density property owners; unlocking shared demand for site hosts by treating roaming as a commercial rather than technical decision
Juliana Binte Salleh
CDG ENGIE
Expect this Q&A to test how far driver-profiling data actually moves site-host revenue-share negotiations versus remaining a CPO-side optimization tool — a distinction that matters for property owners evaluating whether to host charging as a service or as a landlord.
Logistics segment — no market content.
Wrap-up segment — value is in any synthesis of themes or announcements made, not standalone content.
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Programme data compiled from the official EV Charging APAC agenda; sessions move, rooms change. Verify against the official agenda.