Baxi has introduced its HP60 monobloc air source heat pump series, offering outputs from 4 kW to 13 kW and a seasonal coefficient of performance of up to 5.34.

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%.

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.

The Chinese company says its new product is available in a standard container configuration. Its liquid and forced-air cooling systems reportedly maintain a cell temperature difference of just 3 C

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.

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%.

Scientists in Morocco have developed a novel solar panel cleaning system designed to remove dust and bird droppings. Their prototype was built at a total cost of $386 and is ready to incorporate AI features in the future.

Canadian researchers investigated how the transparency of cadmium telluride and crystalline silicon solar panels affects lettuce growth in agrivoltaic systems. They found that 69%–transparent silicon panels increased lettuce yield by 3.6%, whereas cadmium telluride panels led to a reduction in yield.

Researchers in India have developed an algorithm for quadrant swapping in PV arrays, enabling the creation of new quadrants containing either shaded or unshaded modules. The method was tested across ten shading scenarios with varying irradiation levels and demonstrated “superior” performance compared to conventional approaches.