In this paper, a systematic literature review is presented, through a survey of the main digital
databases, regarding modelling methods for Short-Term Load Forecasting (STLF) for hourly …

The integration of more renewable energy resources into distribution networks makes the
operation of these systems more challenging compared to the traditional passive networks …

High penetration of renewable energy resources in distribution systems brings more
uncertainty for system control and management due their intermittent behaviour. In this …

The Krishnagiri reservoir is the main source of irrigation in Tamil Nadu, India. It has been
reported to be hypereutrophic for over a decade with sediment and nutrient load sources …

The adaptive fuzzy neural inference system (ANFIS) is an efficient estimation model not only
among fuzzy neural systems but also among other types of machine learning techniques …

Short-term load forecasting is an important issue for the electric power system in efficiently
managing the network and reducing operating costs. In addition, with the recent …

The fast and accurate dynamic frequency prediction of power grid after disturbance
contributes to formulate corresponding emergency frequency control strategy and prevent …

This work proposes two non-linear and one linear equation-based system for residential
load forecasting considering heating degree days, cooling degree days, occupancy, and …

The Krishnagiri reservoir is the main source of irrigation in Tamil Nadu, India. It has been
reported to be hypereutrophic for over a decade with sediment and nutrient load sources …

Predicting the energy consumption in a building is an effective technique for reducing
energy demand and improving energy efficiency. Hence, a predictive tool is required to …