This comprehensive review paper aims to provide an in-depth analysis of the most recent
developments in the applications of artificial intelligence (AI) techniques, with an emphasis …

We propose a unified machine learning (ML) framework for simultaneously performing
electrical load forecasting and unsupervised anomaly detection in real time. For load …

Load forecasting is a process of predicting future load demand. It is very important function
in electrical power system. This paper deals with the review and understanding about the …

With the development of industry and technology, the development of the environment and
cities has drawn lots of attention. Time series prediction plays a vital role in protecting the …

In this project work, we develop a Fuzzy system to forecast electrical load in both short and
longterm basis. Here, we consider temperature, humidity, seasons of a year and time …

Electrical load forecasting plays an important task in electric utilities for planning the
generation, transmission and distribution system. The other application of load forecasting is …

Long-term projection of electricity demand is necessary for strategizing production,
transmission, distribution and grid expansion in power systems. In this work, we propose a …

Background: Electrical load forecasting plays an important task in electric utilities for
planning the generation, transmission, and distribution systems. The other applications of …

The rapid growth of solar power (plant) installation in various countries can be beneficial to
environment, but at the same time the interconnected solar panels to power grids can …

Accurate long-term energy consumption forecasting of industrial entities is of interest to
distribution companies as it can potentially help reduce their churn and offer support in …