000			03132cam a22003858i 4500
001			22784291
003			OSt
005			20241115143637.0
008			220908s2023 nju 000 0 eng c
010			_a 2022043311
020			_a9781119834021 _q(hardback)
040			_aWaSeSS/DLC _beng _erda _cDLC
042			_apcc
050	0	0	_aTK1001 _b.I61 2023
082	0	0	_a621.31 _223/eng/20220909
245	0	0	_aIntelligent Data Mining and Analysis in Power and Energy Systems : _bmodels and applications for smarter efficient power systems / _cEdited by Zita A. Vale, Tiago Pinto, Michael Negnevitsky, Ganesh Kumar Venayagamoorthy.
263			_a2211
264		1	_aHoboken, New Jersey: _bWiley, _bIEEE Press, _c[2023].
300			_axxvii, 451 pages : _billustration ; _c26 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aIEEE press series on power and energy systems
520			_a"The increasing penetration of distributed renewable energy sources and the consequent empowerment of consumers to become active players in mitigating the lack of generation flexibility with demand flexibility, are driving the power and energy system towards an historic paradigm shift. The small scale, diversity, and number of new players involved in the power and energy field, potentiate a significant growth of generated data. Moreover, advances in telecommunications and digitalization hugely increased the volume of data that results from power and energy components, installations, and systems operation. This data is becoming more and more important for power and energy systems operation and planning, with relevant impact on all involved entities, from producers, consumers and aggregators, to market and system operators. However, although the power and energy community is fully aware of the intrinsic value of the data, the methods to deal with it still require significant improvements and research. Data mining and intelligent data analysis are thereby playing a crucial role in this domain, by enabling players to improve their decision-making process and gain awareness of the power and energy environment. This book brings together the state-of-the-art advances in intelligent data mining and analysis as drivers for the needed evolution of power and energy systems. Although there are some recent books on data mining in general, there is no significant review/survey material on data mining and intelligent data analysis models and their applications in power and energy systems."-- _cProvided by publisher.
650		0	_aElectric power systems.
650		0	_aData mining.
700	1		_aVale, Zita, _eeditor.
700	1		_aPinto, Tiago, _cPhD, _eeditor.
700	1		_aNegnevitsky, Michael, _eeditor.
700	1		_aVenayagamoorthy, Ganesh Kumar, _eeditor.
776	0	8	_iOnline version: _tIntelligent data mining and analysis in power and energy systems _dHoboken, New Jersey : Wiley-IEEE Press, [2023] _z9781119834038 _w(DLC) 2022043312
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c6267 _d6267