Data efficient energy disaggregation with behind-the-meter energy

In this paper we propose an energy disaggregation method to accurately decompose the net load to major types of load, i.e., aggregate home load, solar generation, and power contribution

Solar Disaggregation: State of the Art and Open Challenges

High penetration of PV systems introduces new challenges for planning and operation of power distribution networks, requiring the system operators and electric utilities to develop low-cost...

A Data-Driven Game-Theoretic Approach for Behind-the-Meter

In this paper, a data-driven approach is proposed for BTM PV generation disaggregation using solar and demand exemplars. First, a data clustering procedure is developed to construct a library of candidate

Opportunities for decentralised solar power to improve

We use energy-system modelling to explore ways in which solar photovoltaic (PV)-based mini-grids could be interconnected with national grids. We explore the impact of reduced electricity

IET Generation, Transmission & Distribution

The uncertainty in PV power generation is modeled using probabilistic methods to account for various scenarios. The effectiveness of the proposed method is demonstrated using a 31-bus

Isolation in solar power converters: Understanding the IEC62109

Understanding the IEC 62109-1 safety standard for solar power converters enables you to pick the right isolation solutions for solar power conversion applications.

A Technique for Early Identification of Network Separation to Enhance

Wind and solar photovoltaic (PV) energy have transformed power systems in the last decade. Integration of renewable energy into grids has resulted in cleaner an

Integrated Hydrogen Sensor/Separation Module Boosts Long-Term

Since the mid-''80s, concentrating solar power (CSP) plants have generated clean energy to power our homes, schools, offices, and communities. Yet, one consistent challenge of CSP plants is hydrogen

PV Segmenter: A frequency-guided edge-aware network for

In this paper, we propose PV Segmenter, a frequency-guided edge-aware network that employs frequency-domain learning to improve edge detection and pattern recognition in distributed

Solar Power and the Electric Grid, Energy Analysis (Fact Sheet)

This fact sheet illustrates the roles of distributed and centralized renewable energy technologies, particularly solar power, and how they will contribute to the future electricity system.