The organisation has raised its long-term outlook, driven by increased consumption in developing nations, and sees no ...

Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only ...

Forecasts built on policy hopes often miss real-world demand signals and lead to “missing barrels,” argues Neil Atkinson in ...

"The load forecast is largely driven by the anticipated growth from only one customer class for which there is alack of historic information," agreement states.

Conventional time series models are restricted to narrow historical data patterns, missing out on product metadata, ...

Many supply chain teams are exploring predictive analytics to improve the accuracy of demand planning. These models apply ...

Roughly 8 out of 10 chief financial officers, or CFOs, from Romania’s largest companies say they now need constantly updated financial forecasts, unlike previous years when the focus was primarily on ...

Procurement Magazine takes a look at the top 10 companies successfully investing in procurement technology, including Walmart ...

Energy demand is a variable in constant growth, influenced by economic, geographic, climatic, and other factors. Accurate forecasting of energy demand is crucial for developing electrical systems. It ...

Going ahead, all bids for solar and wind power projects will include a clause for the installation of automatic weather ...

CEA makes AWS mandatory at solar and wind sites to boost accuracy in forecasting, minimise grid errors, and improve renewable ...

Demand side resources (DSRs) are regarded as a perfect choice to provide reserve capacity for the balance service in the power system. Forecasting of DSRs has been well-discussed in recent years.