Dear Researcher

Nonintrusive load monitoring (NILM), or nonintrusive appliance load monitoring (NIALM),is a process for analyzing changes in the voltage and current going into a house and deducing what appliances are used in the house as well as their individual energy consumption. Electric meters with NILM technology are used by utility companies to survey the specific uses of electric power in different homes. NILM is considered a low cost alternative to attaching individual monitors on each appliance. It does, however, present privacy concerns.Non-Intrusive Load Monitoring Can Enhance Smart Meters, Save Energy & Money

Load forecasting helps an electric utility to make important decisions including decisions on purchasing and generating electric power, load switching, and infrastructure development. However, with the deregulation of the energy industries, load forecasting is even more important. Load forecasting can be divided into three categories.

Short term load forecasting which fron are usually one hour to one week period. Short term load forecasting can help to estimate load flows and to make decisions that can prevent overloading.

Medium load forecasting which are usually from a week to one year, and

Long term load forecasting which are longer than a year

Approximately nine categories of load forecasting techniques has been reported in the literature

Multiple regressions;

Exponential smoothing;

Iterative reweighted least squares;

Adaptive load forecasting;

Stochastic time series;

ARMAX model based on genetic algorithm;

Fuzzy logic;

Neural network;

Knowledge based expert systems

Regards

@ Mohan Chandra Pradhan: Thanks for your information. This is very helpful