Energy Management as a Service (EMaaS)

NANYANG INTELLIGENT ENERGIES_ EWISER

NIE_EWISER - An AI-Powered EMAAS Platform

We don't just design energy management solutions—we architect & ground business value. Combining engineering precision, predictive simulation, AI optimization, and innovative commercial models to deliver measurable ROI improvements for industrial and commercial energy consumers.

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Complete Energy Architecture

Unlike fragmented solutions, we deliver end-to-end execution support that accelerates ROI through rigorous planning, data-driven simulation, AI models learning and prediction, and comprehensive system monitoring.

01

Planning + Simulation + Software + Monitoring

Proprietary NIE_EWISER platform models complex systems before deployment. EMS strategy deployment into on-site systems with operation performance monitoring.

02

Business Model Innovation

Beyond hardware—we architect commercial structures. Capital recycling solutions, tariff optimization strategies, and revenue stream diversification that improve payback by 30-40%.

03

Agile Execution

Fast product management cycles and direct supplier relationships. From concept to commissioning in weeks, not months. Ongoing optimization post-deployment.

Complete Energy Management System

An integrated platform connecting simulation, AI-powered control, and real-time monitoring - from strategy design to execution and optimization.

NIE_EWISER Platform Architecture

Dynamic EMS Simulator
Predictive Analysis + AI Intelligence
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EMS-in-Cloud Controller
Best Control Strategy + API Gateway
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Real-time Monitor
Live Data Feed + Analytics
Connected to
Supplier EMS Platform
API Gateway • Real-time Data Feed • Control Commands

Dynamic EMS Simulator

Engineering & data-powered simulation platform that models complex energy systems before deployment.

  • Predictive energy flow analysis
  • Storage optimization algorithms
  • ROI and payback projections
  • Multi-scenario testing
  • Cost optimization (20-40%+ reduction)
  • AI intelligence integration
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EMS-in-Cloud Control Platform

Cloud strategy engine with API integration for real-time supplier EMS execution and control.

  • AI-powered control strategies
  • Real-time API integration
  • Automated optimization
  • Dynamic tariff response
  • 24-hour strategy timeline
  • Bi-directional communication
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Real-time Monitoring Platform

Live data streaming from supplier EMS endpoints with comprehensive performance analytics.

  • Real-time power flow visualization
  • System status monitoring
  • Performance analytics dashboard
  • Alert & notification system
  • Historical data tracking
  • Energy savings reporting
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Dynamic EMS Simulator

Engineering-powered simulation platform for comprehensive energy system analysis and optimization.

Main Interface
Main Interface - Project Configuration & System Setup
Simulation Results
Simulation Results - ROI Analysis & Financial Metrics
Optimization
Optimization Analysis - AI-Powered Recommendations
Battery Performance
Battery Performance - Energy Storage Analysis

Singapore Energy Service Company

How we delivered 42% payback reduction and 2MW peak demand shaving for a leading energy service provider in Malaysia.

Challenge

New Malaysia TNB Maximum Demand (MD) tariff policy (July 2025): RM 97/kW during peak hours. MD charges projected to increase by 2.6x, accounting for >30% of total electricity bill. Existing solar PV system unable to address peak demand spikes.

Our Solution

  • Multi-Layer Analysis: TNB tariff policy, client baseline, PV system integration, BESS design & sizing
  • Dynamic Intelligent EMS: data-driven energy management with predictive modelling and real-time optimization
  • Movable Power Reservoir (MPR): Innovative capital recycling solution for additional revenue streams
42%
Payback Period Reduction
2
Years to Full ROI
2 MW
Peak Demand Shaving
15%+
Additional Revenue/Year

From Time-of-Use (ToU) to Time-of-Control (ToC)

Current energy optimization approaches are fundamentally reactive. We architect proactive control strategies that go beyond simple tariff response.

Traditional Approach: ToU

  • React to fixed tariff schedules
  • Basic load shifting during known peak hours
  • Static optimization rules
  • Manual adjustments when tariffs change
  • Limited to simple arbitrage strategies

Our Approach: ToC

  • Architect proactive control strategies
  • AI-powered predictive optimization
  • Machine learning based dynamic adaptation to real-time conditions
  • Neural network-driven Automated response to tariff evolution
  • Deep learning enables multi-dimensional revenue optimization

International Team Connecting APAC and EMEA

Integrated approach, cross-regional network, proven technology, supply chain access, concrete methodology, and agile execution.

Ya LV

Co-Founder & CEO

Energy entrepreneur with decade-long industry expertise—building intelligent solutions across APAC-EMEA, from R&D to market deployment.

Key Expertise

  • EMS Development
  • Market Strategy
  • Cross-Regional Networks

Dr. Yang Liu

Co-Founder & CCO

Project leader for energy management software at a Fortune 500 company. Led numerous collaborations with power companies in energy industry.

Key Expertise

  • Power Systems
  • EMS Software
  • Industry Partnerships

Extended Team

EMS Development Team
Singapore-based
AI Specialists
Singapore-based
Procurement Expert
China-based
Market Advisors
APAC & EMEA

Strategic Collaborations

NANYANG
Power Solutions

Ready to Architect Your Energy Future?

Let's discuss how we can create value together - whether through investment, partnership, or project collaboration.