… literature review of Artificial Intelligence based short term load forecasting techniques. The
… the performance of Artificial Intelligence (AI) based load forecast models and research gaps. …

… artificial intelligence techniques. In this paper, a state-of-the-art review of three artificial
intelligence techniques for short-term electric load forecasting is comprehensively presented. …

… His research interest includes the application of the artificial intelligence techniques in
photovoltaic power supply systems, meteorological data modelling and weather forecasting. He …

… In this study, applicability and capability of Artificial Intelligence techniques, ANFIS and
ANN, and AR methods for daily river forecasting was investigated. To illustrate the capability of …

… Considering the increasing use of artificial intelligence (AI)-based networks in different
fields such as price estimation, four methods were used in the present work for the first time to …

… Abstract – Electrical utilities depend on short-term demand forecasting to proactively adjust
… Artificial Intelligence (AI), statistical, and hybrid models to short-term load forecasting (STLF). …

… PV power forecasting can play a key role in tackling these challenges… forecasting of a PV
system using a combination of wavelet transform (WT) and artificial intelligence (AI) techniques …

… In the previous discussion we focus on electrical load forecasting techniques, most forecasting
methods use statistical techniques or artificial intelligence algorithms such as regression, …

… In the past few years, artificial intelligence (AI)-based … approaches for air pollution forecasting
because of their specific … AI-based techniques for air pollution forecasting namely Artificial …

… company with real-time financial forecast. The financial forecasting system implemented
artificial intelligence algorithms that worked on the model shown below for financial planning. …