Concept illustration: electricity data from several commercial rooftops at night converging into a data layer above
Concept illustration — not an actual customer, site or equipment

Energy management system · Public introduction

KiWiAIEMS

Turn energy data into actionable management decisions

KiWi AI-EMS connects electricity data from distributed sites with on-site equipment management, helping businesses move from seeing consumption and improving management to verifying energy results with data.

Public introduction. The system is for already authorized accounts only; signing in does not itself grant access.

Capability scope

Four core capability themes

These describe product capability scope and direction; what is available depends on each site's integration, equipment and verification.

  1. EMS·01

    Multi-site energy visibility

    Consolidate site-level electricity data to compare and review operating patterns across sites.

  2. EMS·02

    Metered data for decisions

    Data collection and validation, anomaly review and energy reporting. Update frequency depends on site metering and connectivity; not all data is live.

  3. EMS·03

    Connect equipment data

    Connect data from supported, installed and commissioned equipment for management staff to review. Data monitoring and analysis do not grant equipment control permissions.

  4. EMS·04

    Measurable improvement

    Establish baselines and verify energy-management results with data. No savings guarantees.

Site overview (illustrative)DEMO
  • Site A · RetailPattern review
  • Site B · OfficeBaseline in progress
  • Site C · RetailAnomaly awaiting review

All values and states are fictional

Interface concept — not live data
Technical approach

An edge-to-cloud data pipeline

A generic, conceptual view of how site data becomes management decisions.

  1. 01

    Site meters and equipment

    Electricity data from existing or added metering points.

  2. 02

    Edge data collection

    Data gathered and organized on site.

  3. 03

    Cloud analysis

    Comparison, validation and management reporting.

  4. 04

    Human review / separately authorized integration

    People review decisions; any equipment integration requires separate authorization.

Data flow is not a command or control permission. Live scope is subject to project integration and verification.

Concept illustration: edge nodes sending data streams up into a layered cloud structure
Concept illustration — not an actual customer, site or equipment
Concept illustration: solar panels, a battery cabinet, HVAC units and a commercial building load linked to a central node
Concept illustration — not an actual customer, site or equipment
Advanced directions

Advanced integrations assessed and verified per site

These directions are not available to all users; each requires case-by-case assessment and verification.

  • Load and PV forecasting
  • Battery scheduling
  • HVAC optimization
  • Peak-demand management

Depends on

  • Equipment compatibility and installation
  • Data quality
  • Model validation
  • Control authorization
Application contexts

Contexts we can assess

  • Retail and chain stores

    An application context for comparing and reviewing multi-store consumption.

  • Commercial offices

    An application context for building consumption patterns and baselines.

  • Factories and industrial sites

    Applicability must be assessed against equipment and processes.

Japan Retail Energy | PoC Assessment Tool

Japan Retail Battery Storage PoC: From Measured Load to Financial Decisions

Using half-hourly load data, battery operating constraints and clearly defined cost scenarios, KiWi helps project teams compare PoC investment, store-level savings and commercialization conditions. The tool presents short-term HaaS, long-term service contracts and custom procurement options separately, and flags market participation, cost ranges and conditions where data is still to be confirmed.

  1. 01

    Measurement and peak-shaving validation

    Review peak-shaving scenarios against half-hourly load and battery operating constraints.

  2. 02

    Cost and benefit breakdown

    Show PoC investment, store savings and cost ranges separately.

  3. 03

    Commercialization comparison

    Compare short-term HaaS, long-term service and custom procurement options.

Authorized entry7-ELEVEN Japan PoC Financial Calculator

For PoC assessment only; does not indicate completed deployment, confirmed market revenue or guaranteed benefits.

Onboarding

Four onboarding stages

Timing depends on site conditions; there is no fixed schedule.

  1. 01

    Needs and scope

    Confirm management goals and site scope.

  2. 02

    Equipment and data assessment

    Review metering points, equipment and data quality.

  3. 03

    Integration and validation

    Connect data and validate its accuracy.

  4. 04

    Authorized go-live and review

    Go live once authorized, then review results regularly.

Access

Authorized-account access

The AIEMS system is separate from this public page. Sign-in is currently open only to already authorized accounts; this page offers no registration or access requests. To discuss an assessment, please reach us through the contact page.

Public introduction. The system is for already authorized accounts only; signing in does not itself grant access.