The stable and efficient operation of power systems requires them to be optimized, which, given the growing availability of load data, relies on load forecasting methods.Fast and highly accurate Short-Term Load Forecasting (STLF) is critical for the daily operation of power plants, and state-of-the-art approaches for it involve hybrid models that d
The grey wolf optimizer (GWO) algorithm is a recently developed, novel, population-based optimization technique that is inspired by the hunting mechanism of grey wolves.The GWO algorithm has some distinct advantages, such as few algorithm parameters, strong global optimization ability, and ease of implementation on a computer.However, the paramount
The composition of grain odorants can be influenced by various factors, such as the type of grain, storage conditions, storage duration and pollution of harmful organisms.The type and content of odor substances can timely reflect whether grains are spoiled or damaged by harmful organisms.In this paper, we summarize the techniques used for the extra