R&D Innovation for Energy Efficiency

Publications & Recognition

Our scientific work is regularly presented at international conferences, ensuring that Wattnow’s innovations are both academically validated and industry-relevant.

Vision & Mission

Wattnow R&D team collaborates closely with our sales and development departments to transform customer needs into intelligent solutions. We conduct research, experimentation, and prototyping to identify:
AI-Powered Energy Intelligence

Real time data analysis

Wattnow transforms raw data into valuable insights through feature engineering, ensuring accuracy and real-time performance for every energy assessment.

Secure and scalable AWS infrastructure

Wattnow deploys our AI on a secure and scalable AWS infrastructure, ensuring reliability, seamless updates, and continuous real-time performance for energy optimization at scale.

AI models

Wattnow relies on state-of-the-art AI and Large Language Models (LLMs) to deliver precise forecasts, detect anomalies, and provide intelligent, human-readable energy insights.

Forecasting focused

Wattnow leverages advanced AI models to predict building energy demand and photovoltaic (PV) farm production, ensuring balanced energy usage and improved sustainability.

Research Philosophy & Methodology

Ethical Data Use & AI Workflow

Ethical and Responsible Data Use

Wattnow relies only on public, licensed, or customer-authorized data, never personal information. Our datasets combine real-world measurements from Wattnow devices with customer inputs such as occupancy or equipment details, enriched by contextual data like weather.

AI Workflow

Wattnow brings together intelligent data preparation, insightful analysis, and advanced feature engineering in our AI workflow to achieve exceptional model accuracy. Wattnow tailors every solution to client goals and deploys them seamlessly through AWS APIs, ensuring efficiency and reliable, high-performance outcomes.

Application Areas & Achievements

Research & Publications

Energy Anomaly Detection

Wattnow developed advanced frameworks for detecting energy consumption anomalies, accurately identifying irregular patterns with minimal false alarms to enhance smart energy monitoring automation and reliability.

Handling Missing Energy Data

Wattnow introduced a robust imputation strategy for reconstructing incomplete energy datasets. Our approach ensured analytical continuity and reliability, surpassing conventional methods in restoring data quality for both consumption and production analysis.

Related Publication:
Missing Energy Data Imputation: Addressing Missing Completely at Random Mechanism – Pattern Recognition and Artificial Intelligence, Springer LNNS 2025

Energy Consumption & Production Forecasting

Wattnow developed intelligent forecasting systems to predict energy consumption for clients, buildings, and industrial machines, as well as photovoltaic (PV) energy production based on weather and environmental data. Our AI-driven frameworks enabled accurate short- and long-term forecasts, supporting optimized energy management, load balancing, and strategic decision-making.

Related Publications:
Performance Evaluation of AI-Driven Photovoltaic Output Forecasting – IEEE PES/IAS PowerAfrica Conference 2024

Renewable Energy & PV System Maintenance

Wattnow focused on predictive maintenance and developed intelligent computer vision systems for automatic fault detection in photovoltaic (PV) installations. Wattnow designed these AI-based solutions to identify and classify defects from electroluminescence images, enabling proactive and efficient maintenance of solar energy assets.

Related Publication:
Defect Detection in PV Electroluminescence Images Using YOLOv9 to YOLOv12 Lightweight Variants – IEEE International Conference on Digital Signal Processing (DSP 2025)

Future Developments

Conferences & Industry Engagement

Conferences and Sector Engagement
Wattnow actively participates in major global energy and technology conferences, sharing our expertise and presenting our innovations in energy management. These commitments reinforce our determination to advance the industry, foster collaboration, and remain at the forefront of sustainable energy solutions.

IEEE/PES/IAS 2024

October 7-11, 2024
11th IEEE PES & IAS PowerAfrica Conference (PAC 2024)
Johannesburg, South Africa
International conference on electrical power systems

AIAI 2024

October 16, 2024
26th International Conference on Applications and Innovations in Artificial Intelligence
Ionian University, Corfu, Greece
Focus on AI applied to energy systems

MedPRAI24

October 18-19, 2024
6th Mediterranean Conference on Pattern Recognition and Artificial Intelligence
Istinye University, Istanbul, Turkey
Pattern recognition for energy optimization

DSP 2025

June 2025
25th International Conference on Digital Signal Processing
Costa Navarino, Messinia, Greece
Signal processing for energy monitoring systems