Adaptive Resonance Theory, or ART, is a cognitive and neural theory of how the brain
autonomously learns to categorize, recognize, and predict objects and events in a changing …

An accurate electrical load forecasting is essential for optimal grid operation. The paper
presents a methodology for the short-term commercial building electrical load forecasting …

Short term power load forecasting plays an important role in the management and
development of power systems with a focus on the reduction in power wastes and economic …

This paper proposes a practical new hybrid model for short term electrical load forecasting
based on particle swarm optimization (PSO) and support vector machines (SVM). Proposed …

For most of managers purchasing is a strategic issue. Thus, to select the suitable suppliers
has strategic importance for every company. The objective of supplier selection is to reduce …

Accurate short term load forecasting (STLF) is essential for a variety of decision-making
processes. However, forecasting accuracy can drop due to the presence of uncertainty in the …

In deregulated electricity markets, price forecasting is gaining importance between various
market players in the power in order to adjust their bids in the day-ahead electricity markets …

This research develops a weighted evolving fuzzy neural network for monthly electricity
demand forecasting in Taiwan. This study modifies the evolving fuzzy neural network …

This paper aims at using interval type-2 fuzzy logic systems (IT2FLSs) for one-day ahead
load forecasting task. It introduces an optimal type reduction (TR) algorithm for IT2FLSs to …

Abstract Failure Mode and Effects Analysis (FMEA) is a technique used in the manufacturing
industry to improve production quality and productivity. It is a method that evaluates possible …