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Jie Cao, Ru-Xuan Zhang, Chao-Qiang Liu, Yuan-Bo Yang and Chin-Ling Chen
Daily load forecasting is the basis of the economic and safe operation of a power grid. Accurate prediction results can improve the matching of microgrid energy storage capacity allocation. With the popularization of smart meters, the interaction between...
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Ning Jin, Linlin Song, Gabriel Jing Huang and Ke Yan
Residential electricity consumption forecasting plays a crucial role in the rational allocation of resources reducing energy waste and enhancing the grid-connected operation of power systems. Probabilistic forecasting can provide more comprehensive infor...
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Ziyang Hao, Jingchao Xie, Xiaojing Zhang and Jiaping Liu
This study provides a reference for estimating the building envelope thermal performance at the initial stage of design for nearly zero-energy buildings in different climate zones. A simplified model of heat load prediction, which combines the quasi-stea...
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Eugenia Petrangeli, Nicola Tonellotto and Carlo Vallati
Short-term energy-consumption forecasting plays an important role in the planning of energy production, transportation and distribution. With the widespread adoption of decentralised self-generating energy systems in residential communities, short-term l...
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Nicoleta Stroia, Daniel Moga, Dorin Petreus, Alexandru Lodin, Vlad Muresan and Mirela Danubianu
The monitoring of power consumption and the forecasting of load profiles for residential appliances are essential aspects of the control of energy savings/exchanges at multiple hierarchical levels: house, house cluster, neighborhood, and city. External e...
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Zhijing Ye, Zheng O?Neill and Fei Hu
Heating, ventilation, and air conditioning (HVAC) is the largest source of residential energy consumption. Occupancy sensors? data can be used for HVAC control since it indicates the number of people in the building. HVAC and sensors form a typical cyber...
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Zulfiqar Ahmad Khan, Amin Ullah, Waseem Ullah, Seungmin Rho, Miyoung Lee and Sung Wook Baik
Smart grid technology based on renewable energy and energy storage systems are attracting considerable attention towards energy crises. Accurate and reliable model for electricity prediction is considered a key factor for a suitable energy management pol...
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Keda Pan, Changhong Xie, Chun Sing Lai, Dongxiao Wang and Loi Lei Lai
Considering that most of the photovoltaic (PV) data are behind-the-meter (BTM), there is a great challenge to implement effective demand response projects and make a precise customer baseline (CBL) prediction. To solve the problem, this paper proposes a ...
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The perspective of maintaining residential buildings in adequate technical condition is one of the most important problems over the course of their service life. The aim of the work is to present issues connected with the methods of predicting the proces...
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Muhammad Waseem, Zhenzhi Lin and Li Yang
Air Conditioners (AC) impact in overall electricity consumption in buildings is very high. Therefore, controlling ACs power consumption is a significant factor for demand response. With the advancement in the area of demand side management techniques imp...
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