Artificial intelligence techniques lead to data-driven energy services in distribution power
systems by extracting value from the data generated by the deployed metering and sensing …

In recent years, digitalisation has rendered machine learning a key tool for improving
processes in several sectors, as in the case of electrical power systems. Machine learning …

As an important infrastructure supporting rural development, an integrated energy system
plays an irreplaceable role in China's rural revitalization strategy. The deployment of rural …

New energy integration and flexible demand response make smart grid operation scenarios
complex and changeable, which bring challenges to network planning. If every possible …

The development of distributed renewable energy, such as photovoltaic power and wind
power generation, makes the energy system cleaner, and is of great significance in reducing …

Metaheuristic optimization algorithms are tools based on mathematical concepts that are
used to solve complicated optimization issues. These algorithms are intended to locate or …

The crop pests and diseases in agriculture is one of the most important reason for the
reduction of bulk grain and oil crops and the decline of fruit and vegetable crop quality …

Traditional electrical power grids are transitioning from centralised operation with
unidirectional energy and information flows (from the generation domain to customers) to …

Rural passive distribution networks can no longer meet the modern agricultural
electrification and cleanliness requirements, and it is urgent to carry out distributed energy …

High penetrations of renewable energy sources incorporated into transmission systems
pose a substantial challenge to transmission expansion planning operations due to both the …