Over the past twenty years, numerous research outcomes have been published, related to
the design and implementation of soft sensors. In modern industrial processes, various types …

Machine learning (ML) models have been widely used in the modeling, design and
prediction in energy systems. During the past two decades, there has been a dramatic …

Solar radiation forecasting is a key technology to improve the control and scheduling
performance of photovoltaic power plants. In this paper, a deep learning based hybrid …

The functioning of photovoltaic (PV) systems mainly depends on the climatic conditions,
including incident solar irradiance intensity and module temperature. Thus, irradiance and …

Partial shading is an unavoidable complication in the field of photovoltaic (PV) generation.
Bypass diodes have become a standard feature of solar cell arrays to improve array …

A model-based strategy for an efficient power supply control used in a wireless sensor
network is presented. The strategy, based on Pulse-Skipping Modulation, regulates the …

Industrial process data are time series data with strong dynamics and nonlinearities and are
based on temporal slowness. For industrial soft sensor modeling, it is critical to extract the …

摘要高炉炼铁过程运行优化与控制依赖于可靠, 稳定的难测铁水质量(Molten iron quality, MIQ)
指标模型. 针对现有MIQ 建模方法的不足, 本文提出一种新型的数据驱动鲁棒正则化随机权神经 …

This paper proposes a new method for maximum power point tracking (MPPT) of the
photovoltaic (PV) system while using a DC-DC boost converter. The conventional perturb …

Accurately forecasting solar irradiance is indispensable in optimally managing and
designing photovoltaic systems. It enables the efficient integration of photovoltaic systems in …