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[HTML][HTML] Exploiting demand-side flexibility: State-of-the-art, open issues and social perspective
Demand-side flexibility will play a key role in reaching high levels of renewable generation
and making the transition to a more sustainable energy system. Indeed, end users can …
and making the transition to a more sustainable energy system. Indeed, end users can …
Why baselines are not suited for local flexibility markets
The utilization of flexibility from distributed energy resources is necessary, in the course of
integration of more renewable energy resources to the power system. On a system level …
integration of more renewable energy resources to the power system. On a system level …
Short-term electrical load forecasting using the Support Vector Regression (SVR) model to calculate the demand response baseline for office buildings
Demand Response (DR) aims at improving the operation efficiency of power plants and
grids, and it constitutes an effective means of reducing grid risk during peak periods to …
grids, and it constitutes an effective means of reducing grid risk during peak periods to …
State estimation and control of electric loads to manage real-time energy imbalance
This paper explores methods to coordinate aggregations of thermostatically controlled loads
(TCLs; including air conditioners and refrigerators) to manage frequency and energy …
(TCLs; including air conditioners and refrigerators) to manage frequency and energy …
Quantifying changes in building electricity use, with application to demand response
We present methods for analyzing commercial and industrial facility 15-min-interval electric
load data. These methods allow building managers to better understand their facility's …
load data. These methods allow building managers to better understand their facility's …
Global changes in electricity consumption during COVID-19
Understanding how the COVID-19 pandemic has altered electricity consumption can
provide insights into society's responses to future shocks and other extreme events. We …
provide insights into society's responses to future shocks and other extreme events. We …
When bias matters: An economic assessment of demand response baselines for residential customers
Demand response (DR) has been known to play an important role in the electricity sector to
balance supply and demand. To this end, the DR baseline is a key factor in a successful DR …
balance supply and demand. To this end, the DR baseline is a key factor in a successful DR …
Clustering-based residential baseline estimation: A probabilistic perspective
Demand response (DR) is one of the most cost-effective solutions for providing flexibility to
power systems. The extensive deployment of DR trials and the roll-out of smart meters …
power systems. The extensive deployment of DR trials and the roll-out of smart meters …
Comparative assessment of low-complexity models to predict electricity consumption in an institutional building: Linear regression vs. fuzzy modeling vs. neural …
Develo** energy efficiency strategies for Intelligent Buildings requires a continuous
monitoring of the impacts of energy efficiency measures against baseline scenarios. Since …
monitoring of the impacts of energy efficiency measures against baseline scenarios. Since …
Application of a multiple linear regression and an artificial neural network model for the heating performance analysis and hourly prediction of a large-scale ground …
SK Park, HJ Moon, KC Min, C Hwang, S Kim - Energy and Buildings, 2018 - Elsevier
A ground source heat pump system (GSHP) with 450 RT capacity composed of ten heat
pump units provides the heating and cooling energy to an entire hospital building. The …
pump units provides the heating and cooling energy to an entire hospital building. The …