Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast

• অন্যান্য লেখক: Gómez Vela, Francisco A. (সম্পাদক), García-Torres, Miguel (সম্পাদক), Divina, Federico (সম্পাদক)
• বিন্যাস: বৈদ্যুতিক গ্রন্থের অধ্যায়
• ভাষা: ইংরেজি
• প্রকাশিত: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• বিষয়গুলি: Research & information: general; Technology: general issues; deep learning; energy demand; temporal convolutional network; time series forecasting; time series; forecasting; exponential smoothing; electricity demand; residential building; energy efficiency; clustering; decision tree; time-series forecasting; evolutionary computation; neuroevolution; photovoltaic power plant; short-term forecasting; data processing; data filtration; k-nearest neighbors; regression; autoregression; n/a
• অনলাইন ব্যবহার করুন: DOAB: download the publication; DOAB: description of the publication

The use of data collectors in energy systems is growing more and more. For example, smart sensors are now widely used in energy production and energy consumption systems. This implies that huge amounts of data are generated and need to be analyzed in order to extract useful insights from them. Such...