Tag: Renewable Energy

A new comparative study attributes France's enduring reliance on nuclear power and Germany's completed phase-out to differences in political institutions, ...

A hybrid framework combining CRITIC weighting and a tripartite evolutionary game shows that comprehensive retrofits can cut a Chinese university's ...

A new review details how tunable porous and conjugated polymers are challenging platinum catalysts in electrochemical hydrogen production, with some ...

A four-year analysis of Uganda's 1.6 MW Kalangala hybrid mini-grid shows solar supplied nearly half its output while revealing transmission ...

A new review shows that marine algae can yield substantial biomethane through anaerobic digestion, but salinity, cell walls, and ammonia ...

A new qualitative study of eight industry practitioners shows that foreign renewable energy firms entering Indonesia rely on greenfield investment ...

A 195-country panel study finds that the apparent link between governance quality and renewable electricity is fragile across countries and ...

A new review details how solar-assisted microbial fuel cells and hybrid bio-solar systems combine light-driven chemistry with electroactive bacteria to ...

A new survey of the indigenous community of Wakapoa, Guyana, finds that reliable round-the-clock electricity could unlock millions of dollars ...

Researchers have simulated a servo control system that uses multi-motor synchronization and precise PWM control to keep photovoltaic cleaning robots ...

A Worcester Polytechnic Institute-led study finds bamboo can be converted into liquid fuels at costs competitive with petroleum and with ...

A field-validated IoT platform in Türkiye unifies crop monitoring, irrigation scheduling and solar management for agrivoltaic farms.

Researchers have developed an interpretable deep reinforcement learning framework that schedules wind turbine maintenance to maximize power generation and minimize ...

A machine learning model trained on 26 hours of Kitepower flight data can predict critical tether load events one second ...

Egyptian researchers have built a MATLAB simulation framework combining LSTM-based water demand prediction with solar energy management, achieving simulated water ...

Researchers have developed CHS-Net, a hybrid deep learning architecture that sets a new benchmark for segmenting cracks, erosion, and delamination ...

Researchers have developed a CNN-BiLSTM-Attention hybrid neural network optimized by an improved antlion algorithm that diagnoses and predicts transformer faults ...

A new European energy system model shows that combining stronger EU carbon pricing with a temporary bonus-malus subsidy is the ...

A new neural-augmented predictive controller slashes computation time and improves power quality in four-level back-to-back converters for grid-connected PMSG wind ...

A new 25-year analysis of all EU-27 member states shows that circular economy practices and green innovation cut carbon emissions ...