science

The Chinese manufacturer claims back-contact Hi-MO 9 modules outperformed TOPCon counterparts in a six-month offshore test, showing higher power yield, better low-light performance, and lower operating temperatures.

J-Power announced an investment in US-based perovskite solar specialist Active Surfaces, along with plans to pilot product tests.

Enphase Energy has introduced a complete off-grid solar and storage system that integrates batteries, microinverters, and generator control, with international rollout set for 2026.

Researchers have modeled a hybrid financing scheme combining contracted and merchant components to improve the bankability of PV-battery energy storage system (PV-BESS) assets, using a Bayesian LSTM forecast integrated with a MILP optimization model to assess performance.

Scientists in China have developed a novel missingness-aware power forecasting method that leverages signal decomposition, multi-scale covariate interaction, and multi-domain collaborative transfer learning. The approach reportedly improves average forecasting accuracy by 15.3%.

Japan’s SoftBank Corp. has launched a four-year program backed by the New Energy and Industrial Technology Development Organization (NEDO) to advance high-density batteries and high-efficiency solar cells for high-altitude platform station aircraft.

Algerian researchers have built a single-stage solar and battery desalination system for brackish water that uses a hybrid spotted hyena optimizer and maximum power point tracking (MPPT) algorithm to improve efficiency. Simulations and real-time tests showed high performance, steady water output, and low salinity under changing solar conditions.

A UAE research team developed a hybrid 1D-CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved up to 100% accuracy in general state detection and 97.6% in specific fault classification.

Mercedes-Benz unveiled its first car prototype with a silicon-free, 20%-efficient nanoparticle solar coating that powers the vehicle even when off and uses modules thinner than a human hair.

Scientists in Japan have used a deep reinforcement learning–based AI model to calculate discrepancies between the planned and actual electricity supply volumes in PV-battery systems operating in markets where grid imbalances are penalized. Through a series of simulations, they found that the proposed methodology can reduce imbalance penalties by approximately 47%.