They use technologies for the thermochemical conversion of substances for biomass, like
pyrolysis, torrefaction, gasification, and hydrothermal process. In recent years, the …

The intelligent management of power in electrical utilities depends on the high significance
of load forecasting models. Since the industries are digitalized, power generation is …

In today's restructuring electricity market, short-term load forecasting (STLF) is an essential
tool for the electricity utilities to predict future scenario and act towards a profitable policy …

This paper proposes a new hybrid season specific approach to incorporate the seasonality
effect in short term load forecasting (STLF). A new season specific similarity concept (SSSC) …

Electricity demand modelling is the central and integral issue for the planning and operation
of power systems. Load projection provides important information for electricity network …

Swift and deep decarbonisation of electricity generation is central to enabling a timely
transition to net-zero emission energy systems. While future power systems will likely be …

This paper offers a novel method of power system load forecasting (PSLF) for regional
special event days (RSEDs) when the load demand is highly prejudiced by societal …

Existing studies provide the estimates of climate change's impact on energy consumption,
yet little attention has been paid to inequality based on fine-grained data. This paper takes …

Concerns about climate change, pollution and energy security have prompted policies
aiming at replacing fossil fuels (in heating and cooling, and transportation) with electricity …

This paper constructs a function-on-function linear model that identifies the unknown
comprehensive response of household electricity consumption toward temperature changes …