Developing effective operational strategies for commercial buildings is a high priority as the
global community seeks to reduce energy usage and greenhouse gas emissions. This study …

The proliferation of photovoltaic (PV) power generation in power distribution grids induces
increasing safety and service quality concerns for grid operators. The inherent variability …

This paper presents the development and application of multi-step-ahead short-term
forecasting models targeting supply fans installed in an institutional building. The models …

Improving short term solar irradiance forecasting is crucial to increase the market share of
the solar energy production. This paper analyzes the impact of using spatially distributed …

Personal weather stations (PWS) are gaining popularity since they provide open
meteorological data with high spatial resolution. However, a number of factors may affect the …

The flood risk analysis of a multi-reservoir system is based on the forecasted streamflow,
whose time length is the forecast horizon (FH). FHs are generally different for each reservoir …

We present a method for constructing artificial neural network (ANN) models of the stratified
chilled water thermal energy storage (TES) system and borehole heat exchanger (BHE) of a …

Solar irradiation is influenced by many meteorological features, which results in a complex
structure meaning its prediction has low efficiency and accuracy. The existing prediction …

We conduct the first comprehensive meta-analysis of deterministic solar forecasting based
on skill score, screening 1,447 papers from Google Scholar and reviewing the full texts of …

Solar energy being one of the most inexpensive renewable energy sources, has shown to
be a viable alternative to traditional fossil-fuel and wood-based electricity generation. For the …