In this paper, a comprehensive review is presented for mid-term load forecasting. The basic
loads and effective factors are studied, and then several classifications are presented for …

Long-term individual household forecasting is useful in various applications, eg, to
determine customers' advance payments. However, the literature on this type of forecasting …

The residential sector is a major consumer of electricity, and its demand will rise by 65
percent by the end of 2050. The electricity consumption of a household is determined by …

The motivation behind the research is the requirement of error-free load prediction for the
power industries in India to assist the planners in making important decisions on unit …

This paper presents a neural network (NN) based approach for long-term load forecasting
(LTLF) of the Jordanian power system from 2015 to 2029. Two types of feed forward neural …

The motivation behind the research is the requirement of error-free load prediction for the
power industries in India to assist the planners for making important decisions on unit …

In recent years, Rwanda's rapid economic development has created the “Rwanda Africa
Wonder”, but it has also led to a substantial increase in energy consumption with the …

In an era marked by the pressing need to address climate change, innovative solutions in
energy management are becoming increasingly crucial. In this thesis, three main …

With the development of energy industry and infor-mation technologies, the concept of
energy Internet is proposed to prevent the energy crisis and reduce the environmental …

**年来, 我国经济结构发生较大规模的调整, 经济形势的变化对于负荷的影响愈发显著.
针对现有考虑经济因素的预测方法往往存在的适应性, 实用性不足的情况, 提出了一种既能充分 …