Electricity Technological Mix Forecasting for Life Cycle Assessment Aware Scheduling

Life-cycle Assessment Vattenfall’s Electricity in Sweden

Modelling of Electricity Mix in Temporal Differentiated Life-Cycle-Assessment to Minimize Carbon Footprint of a Cloud Computing Service

The information and communications technologies (ICT) sector is seeking to reduce the electricity consumption of data processing centres. Among the initiatives to improve energy efficiency is the shift to cloud computing technology. Thanks to very favourable geographical conditions, the Canadian energy mix is highly suited to the implementation of data centres, especially in light of the signif...

Bayesian Nets for Life Cycle Cost Forecasting

Plant and system operators are looking for reliable products meeting high technical requirements while providing maximum economic benefit throughout the life cycle. Calculating life cycle costs different operating conditions have to be considered to provide reliable decision making assistance. If data for a direct probability measurement may not be available, expert knowledge needs to be consid...

Grey Prediction Model for Forecasting Electricity consumption

Accurate prediction of the future electricity consumption is crucial for production electricity management. Since the storage of electrical energy is very difficult, reliable and accurate prediction of power consumption is important. Different approaches for this purpose were used. In this paper, Grey model (1,1) based on grey system theory has been used for forecasting results. Annual electric...

Demand Forecasting for Electricity

Introduction Forecasting demand is both a science and an art. Econometric methods of forecasting, in the context of energy demand forecasting, can be described as ‘the science and art of specification, estimation, testing and evaluation of models of economic processes’ that drive the demand for fuels. The need and relevance of forecasting demand for an electric utility has become a much-discuss...