[HTML][HTML] Demand response performance and uncertainty: A systematic literature review
The present review has been carried out, resorting to the PRISMA methodology, analyzing
218 published articles. A comprehensive analysis has been conducted regarding the …
218 published articles. A comprehensive analysis has been conducted regarding the …
Market models and optimization techniques to support the decision-making on demand response for prosumers
Demand Response (DR) programs are essential for easing end-user demand on the power
system, adding benefits across the power sector by reducing peak demand and power flow …
system, adding benefits across the power sector by reducing peak demand and power flow …
Day-ahead optimal bidding and scheduling strategies for DER aggregator considering responsive uncertainty under real-time pricing
This paper addresses the optimal decision problem of a distributed energy resources (DER)
aggregator who manages wind turbines, solar PV systems and battery energy storage (BES) …
aggregator who manages wind turbines, solar PV systems and battery energy storage (BES) …
[HTML][HTML] Highly accurate peak and valley prediction short-term net load forecasting approach based on decomposition for power systems with high PV penetration
The increasing penetration of photovoltaic has been reshaping the electricity net load curve,
which has a significant impact on power system operation and short-term dispatch …
which has a significant impact on power system operation and short-term dispatch …
Dynamic directed graph convolution network based ultra‐short‐term forecasting method of distributed photovoltaic power to enhance the resilience and flexibility of …
Y Wang, W Fu, X Zhang, Z Zhen… - IET Generation …, 2024 - Wiley Online Library
Accurately forecasting regional distributed photovoltaic (DPV) power is crucial in mitigating
the negative impact of high DPV penetration on the reliability and resilience of the …
the negative impact of high DPV penetration on the reliability and resilience of the …
Energy flexibility quantification of grid-responsive buildings: Energy flexibility index and assessment of their effectiveness for applications
The demand side is increasingly expected to provide energy flexibility for power grid
economy and reliability. Buildings have various flexibility sources that can be effectively …
economy and reliability. Buildings have various flexibility sources that can be effectively …
Fluctuation pattern recognition based ultra-short-term wind power probabilistic forecasting method
Probabilistic wind power forecasting includes more detailed information than deterministic
forecasting, which can provide reliable guidance for the optimal decisions of power system …
forecasting, which can provide reliable guidance for the optimal decisions of power system …
Operation of a commercial district integrated energy system considering dynamic integrated demand response: A Stackelberg game approach
J Tan, Y Li, X Zhang, W Pan, W Ruan - Energy, 2023 - Elsevier
To facilitate energy coupling and coordinate distributed resources economically, this paper
proposes an operation model of a district integrated energy system (IES) with a Stackelberg …
proposes an operation model of a district integrated energy system (IES) with a Stackelberg …
Spatio-temporal two-dimensions data based customer baseline load estimation approach using LASSO regression
Customer baseline load (CBL) estimation plays a crucial role in financial settlement for
incentive-based demand response (DR). Most current CBL estimation methods utilize …
incentive-based demand response (DR). Most current CBL estimation methods utilize …
An investigation on maximum power extraction algorithms from PV systems with corresponding DC-DC converters
This paper aims at exploring different approaches utilized to track the Maximum operating
Power Point (MPP) of PV (Photovoltaic) modules, fulfilling the largest amount of available …
Power Point (MPP) of PV (Photovoltaic) modules, fulfilling the largest amount of available …