Fundamentals and business model for resource aggregator of demand response in electricity markets

X Lu, K Li, H Xu, F Wang, Z Zhou, Y Zhang - Energy, 2020 - Elsevier
Demand response (DR) is an effective means to help maintain the balance between power
supply and demand, promote energy conservation and emission reduction. Nevertheless …

Household energy efficiency interventions: A systematic literature review

R McAndrew, R Mulcahy, R Gordon, R Russell-Bennett - Energy Policy, 2021 - Elsevier
Energy efficiency in the home is a major concern for households, governments and various
non-government organisations. Energy efficiency has implications beyond usage and costs …

Application of association rule method using apriori algorithm to find sales patterns case study of indomaret tanjung anom

MH Santoso - Brilliance: Research of Artificial Intelligence, 2021 - jurnal.itscience.org
Data mining can generally be defined as a technique for finding patterns (extraction) or
interesting information in large amounts of data that have meaning for decision support. One …

A satellite image data based ultra-short-term solar PV power forecasting method considering cloud information from neighboring plant

F Wang, X Lu, S Mei, Y Su, Z Zhen, Z Zou, X Zhang… - Energy, 2022 - Elsevier
Accurate ultra-short-term PV power forecasting is essential for the power system with a high
proportion of renewable energy integration, which can provide power fluctuation information …

Deep learning based surface irradiance mapping model for solar PV power forecasting using sky image

Z Zhen, J Liu, Z Zhang, F Wang, H Chai… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
With the increase of solar photovoltaic (PV) penetration in power system, the impact of
random fluctuation of PV power on the secure operation of power grid becomes more and …

Smart households' aggregated capacity forecasting for load aggregators under incentive-based demand response programs

F Wang, B Xiang, K Li, X Ge, H Lu, J Lai… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The technological advancement in the communication and control infrastructure helps those
smart households (SHs) that more actively participate in the incentive-based demand …

Cost-benefit analysis of integrated energy system planning considering demand response

Y Xiang, H Cai, C Gu, X Shen - Energy, 2020 - Elsevier
The power-gas-coupling can realize the cascade utilization of energy in the integrated
energy system, which is conducive to improving the utilization of energy and reducing …

A minutely solar irradiance forecasting method based on real-time sky image-irradiance mapping model

F Wang, Z Xuan, Z Zhen, Y Li, K Li, L Zhao… - Energy Conversion and …, 2020 - Elsevier
Accurate minutely solar irradiance forecasting is the basis of minute-level photovoltaic (PV)
power forecasting. In this paper, a minutely solar irradiance forecasting method based on …

A modular high-resolution demand-side management model to quantify benefits of demand-flexibility in the residential sector

V Stavrakas, A Flamos - Energy Conversion and Management, 2020 - Elsevier
Increasing shares of renewable energy sources and managing total demand are considered
pivotal for energy transitions that fundamentally re-envisage the electricity system. A key …

Optimal bidding strategy of demand response aggregator based on customers' responsiveness behaviors modeling under different incentives

X Lu, X Ge, K Li, F Wang, H Shen, P Tao… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Residential customers account for an indispensable part in the demand response (DR)
program for their capability to provide flexibility when the system required. However, their …