• Limited generation capacity and penetration of renewables need demand response. Energy-storing water heaters are suitable for response with scheduling. Artificial intelligence potentially suited due to patterned hot usage. Review scheduling techniques machine learning optimal Machine clear advantages over classical control strategies. A high renewable energy sources such as wind power photovo...

in this present study the dissolved air flotation (daf) system was investigated for the treatment of kermanshah oil refinery wastewater. the effect of three parameters on flotation efficiency including of flow rate (outflow from the flotation tank), saturation pressure and coagulant dosage on chemical oxygen demand (cod) removal was examined experimentally. all the experiments were done under a...

This paper discusses how to optimize pre-cooling strategies for buildings in a hot California climate zone with the Demand Response Quick Assessment Tool (DRQAT), a building energy simulation tool. This paper outlines the procedure used to develop and calibrate DRQAT simulation models, and applies this procedure to eleven field test buildings. The results of a comparison between the measured de...

In 2022, Thailand’s Demand Response (DR) business model was shifting from the Traditional Utility (TU) to Load Aggregator (LA) in accordance with smart grid master plan. This research studied current demand response and mechanism draw possible gaps operations. deals data system owned by individual load aggregator. The aggregators collect meter evaluate adaptations before sending results claim c...

In the last decades, home energy consumption has increased significantly due to increasing load demand in the residential sector. This paper presents a home energy management (HEM) algorithm to manage the home appliances in a house during a demand response (DR) event. The developed algorithm considers load appliances according to customer preference setting, priority of appliance, and comfortab...

Due to the limited predictability and associated uncertainty of renewable energy resources, renewable-based electricity systems are confronted with instability problems. In such power systems, implementation of Demand Response (DR) programs not only can improve the system stability but also enhances market efficiency and system reliability. By implementing cloud-based engineering systems the ut...

Large-scale wind power integration brings great challenges to system operation. The use of large-scale in the electricity market has become a concern for many researchers. Demand response (DR) and energy storage systems (ESSs) play crucial roles consumption power. In this paper, detailed DR model is established, including price-based demand (PBDR) incentive-based (IBDR). IBDR contains load shif...

The electric power industry worldwide has undergone significant changes over the last decade. Environmental compliance and energy conservation issues have occupied the forefront of the new age power system which have opened the possibility of an increased integration of Distribution Energy Resources (DER). With the presence of DERs, reliable system operation and control has become increasingly ...