IoT-Based Energy Management System Development Company
Adequate Infosoft is a leading IT company providing AI and IoT-based custom Energy Management System (EMS) development services for industrial, commercial, and smart infrastructure projects.
We build intelligent platforms that go beyond monitoring by enabling predictive analytics, DER orchestration, BESS control, demand response automation, and smart grid optimization.
Our company provides the development of custom energy management software applications that are designed specifically to meet the needs of industrial plants, commercial buildings, hospitals, shopping centers, and/or other types of smart infrastructure projects.
Our EMS platforms are already deployed in malls, hotels, hospitals, factories and residential societies, providing reliable automation, energy efficiency and real-time operational insights.
We also provide the option to hire developers for smart grid data processing software, helping businesses manage real-time grid analytics, energy forecasting, and distributed energy operations.
Understanding Modern EMS Architecture
We are an experienced energy asset management software development company delivering scalable solutions to monitor, control, and optimize energy assets across industrial and commercial environments.
The energy management system (EMS) integrates hardware sensors, edge controllers, communication networks, and cloud- or premises-based software to monitor energy consumption, generation, and storage and improve operational efficiencies on an ongoing basis. This will happen over one or more facilities or portfolios of multiple facilities.
Modern energy management systems differ from simple monitoring platforms by providing a mechanism for actively controlling connected assets by way of managing battery charge and discharges, optimizing inverters' output, implementing demand response automation, and optimizing the shedding of non-essential loads at peak times.
The Three-Layer EMS Architecture
Modern EMS deployments follow a "cloud-edge-device" architecture:
| Layer | Components | Primary Functions |
|---|---|---|
| Device Layer | Sensors, meters, inverters, batteries, EV chargers, HVAC controllers | Data generation, local actuation |
| Edge Layer | IoT gateways, PLCs, embedded controllers | Protocol translation, data aggregation, real-time control (sub-second latency), local logic execution |
| Cloud/Central Layer | Servers, databases, analytics engines, dashboards | Historical storage, AI/ML analytics, reporting, multi-site orchestration, user access |
Functional Capabilities of Core EMS
Real-Time Monitoring
Real-time monitoring of voltage/current/power (kW), energy (kWh), power factor and frequency from all connected equipment
Battery Energy Storage System
Battery Energy Storage System (BESS) orchestration via state of charge (SoC) management (typically limits to preserve lifetime between 10-90% SoC), peak shaving, time of use arbitrage and participation in grid services.
BESS Orchestration
Coordinating Distributed Energy Resource (DER) solar PV/wind/generators/EV chargers/heat pumps as part of a virtual power plant
Automated Control
Load shedding, demand limiting, power capping, automatic generator starting/stopping
Power Quality
Total harmonic distortion (THD)/sags/swells/transients (per IEEE 519)
Forecasting & Optimization
Load forecast-based Artificial Intelligence/Machine Learning (AI/ML) models less than 8% error, Solar forecast, Price-based Optimization.
Sustainability Measurement
Automated measurement of carbon footprint (Scope 1, 2, & 3); green manufacturing reporting; compliance with regulations (EU Battery Law and ISO 50001)
We turnkey energy analytics dashboard developers, cloud-based platforms that provide energy tracking and reporting along with alerting; intelligent automation and decision support data within distributed energy environments.
Custom IoT Device Development for EMS
Off-the-shelf hardware often cannot address unique site requirements, legacy equipment, or specialized applications. We design and manufacture custom IoT devices purpose-built for EMS applications.
Custom IoT Gateway Development
The EMS Gateway (edge controller) acts as the intelligent bridge between field devices such as smart meters, inverters, BESS, and the central EMS platform.
It supports protocol translation including Modbus, CAN bus, IEC 61850, and DNP3, while enabling secure MQTT or REST cloud communication.
The gateway performs real-time data aggregation, edge analytics, anomaly detection, local automation, buffering during network outages, and remote OTA device management for reliable industrial energy operations.
Gateway Hardware Platform Options We Develop:
| Platform | Best For | Key Specifications |
|---|---|---|
| ESP32-S3 Based | Cost-sensitive, moderate performance (home, small commercial) | Dual-core Xtensa @ 240MHz, Wi-Fi/BT, 16MB flash, -40°C~105°C operation |
| STM32MP1 / i.MX8M Mini | Industrial, deterministic real-time control | Cortex-A7 + Cortex-M4, Linux + RTOS, -40°C~85°C, 10+ year availability |
| Rockchip RK3568J | High-performance edge AI, demanding industrial | Quad-core A55 @1.8GHz, 1 TOPS NPU, -40°C~70°C, 6x RS485, 3x CAN |
| x86 Edge (Celeron/Atom) | Heavy analytics, Windows compatibility | 8-32GB RAM, 256GB+ SSD, fanless, wide temperature |
Industrial Certifications (we assist with):
CE, FCC, UL 61010-1 (safety), UL 62368-1, IEC 60950 Class I Division 2 (hazardous locations) upon request
Custom Embedded Controller Development
For applications where a full gateway is overkill or where space/power constraints dominate, we design custom embedded controllers using industrial-grade microcontrollers.
Our solutions support BESS coordination, solar inverter intelligence, HVAC retrofitting, and portable energy monitoring applications. Adequate Infosoft provides end-to-end PCB design, industrial MCU selection, firmware development using FreeRTOS and Zephyr, onboard industrial I/O integration, and robust power protection features for stable operation in demanding industrial environments.
Firmware & Embedded Software Services
Robust firmware is the foundation of reliable EMS edge devices. The firmware engineering services we offer consist of developing RTOS-based applications, such as FreeRTOS, Zephyr, and Embedded Linux, and Modbus, CANopen, MQTT, and OPC UA communication stacks.
We develop intelligent control algorithms and secure OTA updates using WatchDog-based safety mechanisms, remote diagnostics, etc.
Our solutions are already in use by many live BESS, HVAC, and industrial energy systems with reliable edge automation, monitoring, and remote maintenance capabilities.
Cloud Platform & Central EMS Software
We develop an Industrial Internet of Things (IoT) energy monitoring platform that integrates advanced technologies such as real-time connectivity with devices, remote monitoring, predictive analysis, and automation capabilities.
Based on your operational and security needs, you can choose from cloud, on-premise or hybrid EMS deployment models.
Cloud Software as a Service (SaaS) providers allow for fast deployment and scalability, they also provide centralized performance analytics and reporting.
On-Premise systems allow you to maintain total data control and have ultra-low latency for any critical infrastructure. The hybrid model provides an edge control and cloud-based performance analytics solution that is most often recommended by enterprise companies and industrial facilities.
Advanced EMS Features
Some of the advanced features in Energy Management Solutions are as follow:
Load forecasting:
24-hour-ahead prediction based on LSTM neural networks. It has an error of less than 8%.
Solar generation forecasting:
Weather-integrated models that predict PV output.
Anomaly detection:
Spot unusual consumption patterns, suggesting potential equipment faults.
Optimization algorithms:
Automated load scheduling is able to reduce peak demand by 10%-30%.
Peak shaving:
Automatic discharging of batteries or load shedding when demand exceeds a threshold.
Time-of-Use arbitrage:
Charge the battery during off-peak when it is cheap and discharge it during peak when it is expensive.
Self-consumption maximization:
Maximize solar self-consumption before importing from the grid.
Grid services:
Automated response to utility curtailment signals, frequency regulation.
Real-time harmonic monitoring against IEEE 519 limits. Voltage sag/swell detection and time-stamped logs. Reactive power factor monitoring (alert below 0.95 lagging).
These will include loads, inverters, SHEMS, etc. Thus, ideally, when all these features are run on a multi-agent system, they will communicate with one another to make intelligent demands.
Development of an Energy Management System is a multi-disciplinary effort across embedded engineering, power systems and cloud software and data science. An EMS is not purchased, it is engineered for the unique mix of loads, generation, storage and operational constraints of a facility.
Contact us right now to develop your custom EMS solution.
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