An internet of energy framework with distributed energy resources, prosumers and small-scale virtual power plants: An overview

K Mahmud, B Khan, J Ravishankar, A Ahmadi… - … and Sustainable Energy …, 2020 - Elsevier
Current power networks and consumers are undergoing a fundamental shift in the way
traditional energy systems were designed and managed. The bidirectional peer-to-peer (P …

A systematic survey on demand response management schemes for electric vehicles

R Kakkar, S Agrawal, S Tanwar - Renewable and Sustainable Energy …, 2024 - Elsevier
The unprecedented proliferation of electric vehicles is envisioned to revolutionize the
Intelligent Transportation System as an energy-efficient and environment-friendly alternative …

Machine learning based PV power generation forecasting in alice springs

K Mahmud, S Azam, A Karim, S Zobaed… - IEEE …, 2021 - ieeexplore.ieee.org
The generation volatility of photovoltaics (PVs) has created several control and operation
challenges for grid operators. For a secure and reliable day or hour-ahead electricity …

ARIMA models in solar radiation forecasting in different geographic locations

E Chodakowska, J Nazarko, Ł Nazarko, HS Rabayah… - Energies, 2023 - mdpi.com
The increasing demand for clean energy and the global shift towards renewable sources
necessitate reliable solar radiation forecasting for the effective integration of solar energy …

Recent progress towards photovoltaics' circular economy

MKH Rabaia, C Semeraro, AG Olabi - Journal of Cleaner Production, 2022 - Elsevier
Massive expansions in the global population and the global digitalization throughout the
industrial revolution are causing energy security issues that are no longer environmentally …

Graph deep-learning-based retail dynamic pricing for demand response

J Ruan, G Liang, J Zhao, S Lei, B He… - … on Smart Grid, 2023 - ieeexplore.ieee.org
Designing customized dynamic pricing is a promising way to incent consumers to adjust
their daily energy consumption behaviors. It helps manage flexible demand response …

高比例可再生能源电力系统调峰问题综述

和萍, 宫智杰, 靳浩然, 董杰, 云磊 - 电力建设, 2022 - epjournal.csee.org.cn
随着可再生能源在电力系统中所占的比例日益提高, 电力系统的电源结构发生了巨大变化,
可再生能源的高渗透性, 出力的随机性和不确定性, 使得电源侧, 负荷侧对电力系统调峰资源需求 …

[HTML][HTML] artificial intelligence control system applied in smart grid integrated doubly fed induction generator-based wind turbine: A review

RK Behara, AK Saha - Energies, 2022 - mdpi.com
Wind-driven turbines utilizing the doubly-fed induction generators aligned with the
progressed IEC 61400 series standards have engrossed specific consideration as of their …

Load forecasting based on genetic algorithm–artificial neural network-adaptive neuro-fuzzy inference systems: a case study in Iraq

AMM AL-Qaysi, A Bozkurt, Y Ates - Energies, 2023 - mdpi.com
This study focuses on the important issue of predicting electricity load for efficient energy
management. To achieve this goal, different statistical methods were compared, and results …

[HTML][HTML] Residential PV-battery scheduling with stochastic optimization and neural network-driven scenario generation

M Rezaeimozafar, M Duffy, RFD Monaghan, E Barrett - Energy Reports, 2024 - Elsevier
Residential end-users have increasingly been attracted to installing behind-the-meter (BTM)
photovoltaic (PV) and battery energy storage systems (BESS). The inherent stochastic …