Load forecasting has been a fundamental business problem since the inception of the
electric power industry. Over the past 100 plus years, both research efforts and industry …

As the smart city applications are moving from conceptual models to development phase,
smart transportation is one of smart cities applications and it is gaining ground nowadays …

One of the most important research topics in smart grid technology is load forecasting,
because accuracy of load forecasting highly influences reliability of the smart grid systems …

We propose a combined method that is based on the fuzzy time series (FTS) and
convolutional neural networks (CNN) for short-term load forecasting (STLF). Accordingly, in …

This work presents a literature review of control methods, with an emphasis on the theory
and applications of model predictive control (MPC) for heating, ventilation, and air …

Uncertainty quantification plays a critical role in the process of decision making and
optimization in many fields of science and engineering. The field has gained an …

There is an ongoing, revolutionary transformation occurring across the globe. This
transformation is altering established processes, disrupting traditional business models and …

Precise forecast of the electrical load plays a highly significant role in the electricity industry
and market. It provides economic operations and effective future plans for the utilities and …

Losses of electricity production in photovoltaic systems are mainly caused by the presence
of faults that affect the efficiency of the systems. The identification of any overheating in a …

Smart-grid (SG) is a new revolution in the electrical utility industry (EUI) over the past
decade. With each moving day, some new advanced technologies are coming into the …