Load forecasting is an essential task performed within the energy industry to help balance supply with demand and maintain a stable load on electricity grid. As transitions towards less reliable renewable generation, smart meters will prove vital component facilitate these tasks. However, meter adoption low among privacy-conscious consumers that fear intrusion upon their fine-grained consumptio...

Forecasting short-term electrical load is very important so that the quality of power supplied can be maintained properly. The study was conducted to measure results forecasting based on parameter estimates and presentation time series data. It manage stationary data, both in terms mean variance. Data done by determining value variance through Box-Cox transformation method ACF PACF plots. This ...

An efficient and accurate electrical power Short Term Load forecasting plays a vital role for economic operational planning of both the electricity markets as well as regulated power systems. Till date many techniques and approaches have been presented for STLF in the literature. However there is still an essential need to develop more efficient and accurate load forecast model. This paper uses...

Accurate load forecasting is an important issue for the reliable and efficient operation of a power system. This study presents a hybrid algorithm that combines similar days (SD) selection, empirical mode decomposition (EMD), and long short-term memory (LSTM) neural networks to construct a prediction model (i.e., SD-EMD-LSTM) for short-term load forecasting. The extreme gradient boosting-based ...

<span>Load forecasting plays an essential role in power system planning. The efficiency and reliability of the whole can be increased with proper planning organization. Residential load is indispensable due to its increasing smart grid environment. Nowadays, meters deployed at residential level for collecting historical data consumption residents. Although employment ensures large availab...

Forecasting load is an integral part of the planning, operation, and control power systems. This paper a research effort aimed at developing better energy demand forecasting models for dispatch centers (LDCs) in Indian states as ambitious project utilizing artificial intelligence-based models. In this paper, we present half hourly method management system that will be used 33 /11 kV 0.415 subst...

Short-term load forecasting is crucial for the operations planning of an electrical grid. Forecasting the next 24 h of electrical load in a grid allows operators to plan and optimize their resources. The purpose of this study is to develop a more accurate short-term load forecasting method utilizing non-linear autoregressive artificial neural networks (ANN) with exogenous multi-variable input (...

With the rapid growth of power system and the increase in their complexity of the networks, load forecasting plays a vital role in economic operation of power systems, network planning and infrastructure development. Electricity demand forecasting is concerned with the prediction of a very short term, short term, medium term and long term load demand, depending on the time horizon. This paper p...