In recent years, smart cities have grown in popularity, both in research and in practice. The
focus of smart city studies and policy initiatives has historically been on technology …

As the volatility of electricity demand increases owing to climate change and electrification,
the importance of accurate peak load forecasting is increasing. Traditional peak load …

The Bayesian statistical paradigm provides a principled and coherent approach to
probabilistic forecasting. Uncertainty about all unknowns that characterize any forecasting …

Soaring temperatures and increased occurrence of heatwaves have drastically increased air‐
conditioning demand, a trend that will likely continue into the future. Yet, the impact of …

Cooling demand is projected to increase under climate change. However, most of the
existing projections are based on rising air temperatures alone, ignoring that rising …

Long-term temperature change and variability are expected to have significant impacts on
future electric capacity and investments. This study improves upon past studies by …

Electrical utilities depend on short-term demand forecasting to proactively adjust production
and distribution in anticipation of major variations. This systematic review analyzes 240 …

Risk‐informed asset management is key to maintaining optimal performance and efficiency
of urban sewer systems. Although sewer system failures are spatiotemporal in nature …

While most electricity systems are designed to handle peak demand during summer months,
long-term energy pathways consistent with deep decarbonization generally electrify building …

Flexibility has increasingly gained attention within the field of electrification and energy
transition where a common objective is to reduce the electricity consumption peaks …