Long-term water demand for electricity, industry and households

Long-Term Water Demand Forecasting

This chapter reviews existing long term water demand forecasting methodologies. Based on an extensive literature review, it shows that the domain has benefited from contributions by economists, engineers and system modelers, producing a wide range of tools, many of which have been tested and adopted by practitioners. It illustrates, via three detailed case studies in the USA, the UK and Austral...

Describing Long-Term Electricity Demand Scenarios in the Telecommunications Industry: A Case Study of Japan

Due to the rapid expansion of information and communication technology (ICT) usage, the telecommunications industry is faced with a challenge to promote green ICT toward achieving a low-carbon society. One critical obstacle in planning long-term strategies for green ICT is the uncertainty of various external factors, such as consumers’ lifestyle and technological advancement. To tackle this iss...

Australia's long-term electricity demand forecasting using deep neural networks

Accurate prediction of long-term electricity demand has a significant role in demand side management and electricity network planning and operation. Demand over-estimation results in over-investment in network assets, driving up the electricity prices, while demand underestimation may lead to under-investment resulting in unreliable and insecure electricity. In this manuscript, we apply deep ne...

Long Term Electricity Demand Forecasting with Multi-agent-Based Model

Smart Energy: Electricity Usage and Demand-Side Management in Households

Household electrical energy consumption represents a major chunk of the total demand. This demand is also exhibiting steady increase whereas supplies are struggling to keep up. This poses two key challenges to Demand-Side Management (DSM) – achieving unrealized energy savings and, reducing peak loads. Energy saving in households has not yet achieved its potential chiefly because of poor feedbac...