Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Yogesh Kumar Bichpuriya"'
Autor:
Venkatesh Sarangan, Yogesh Kumar Bichpuriya, Neha Nandagaoli, Narayanan Rajagopal, Nidhisha Mahilong
Publikováno v:
BuildSys@SenSys
Large electricity consumers can now directly participate in electricity markets. With the availability of choices to procure electricity, the procurement cost can be minimized while simultaneously weighing the risk associated with the choices. While
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdb25c0f5a1cf3399ae491c8d2abdb5f
https://doi.org/10.1145/3408308.3427985
https://doi.org/10.1145/3408308.3427985
Autor:
Nidhisha Mahilong, Easwar Subramanian, Yogesh Kumar Bichpuriya, Venkatesh Sarangan, Bala Suraj Pedasingu
Publikováno v:
BuildSys@SenSys
We aim to increase the revenue or reduce the purchase cost of a given market participant in a double-sided, day-ahead, wholesale electricity market serving a smart city. Using an operations research based market clearing mechanism and attention based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f848d6a15585eb4e85a555f067e459cf
https://doi.org/10.1145/3408308.3427976
https://doi.org/10.1145/3408308.3427976
Autor:
Yogesh Kumar Bichpuriya, Sanjay P. Bhat, Venkatesh Sarangan, Akshaya Natarajan, Avinash Achar, Abhay Pratap Singh, Easwar Subramanian
Publikováno v:
e-Energy
We aim to increase the profit of a given generator participating in a single-sided wholesale energy market. We model the market clearing mechanism and the behavior of other generators competing in the market. We utilize interesting structures in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::248162c1db09af349b394a0800d5f1f5
https://doi.org/10.1145/3307772.3328281
https://doi.org/10.1145/3307772.3328281
Publikováno v:
2017 IEEE Innovative Smart Grid Technologies - Asia (ISGT-Asia).
Penetration of Distributed Energy Resources (DERs) has been increasing in the distribution system. Demand forecasting helps a distribution utility in planning and operational decision making. In presence of DERs, the demand forecast should be correct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c4662334c0262c293bf28a1929702e0
https://doi.org/10.1109/isgt-asia.2017.8378381
https://doi.org/10.1109/isgt-asia.2017.8378381
Publikováno v:
2017 14th International Conference on the European Energy Market (EEM).
In the new era of electrical power industry with more emphasis on green energy resources and active customer participation, the distribution utilities (DISCOMs) are being challenged. Being an important link between wholesale and retail electricity ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::130dff2546c4440fc0cb3a81881f809f
https://doi.org/10.1109/eem.2017.7981985
https://doi.org/10.1109/eem.2017.7981985
Publikováno v:
ISGT
Increasing penetration of intermittent renewable energy at distributed and bulk generation level introduces challenges in maintaining supply-demand balance in the electric grid. To achieve demand-following-generation regime, it is important to utiliz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fa03921fe96c4c13d19c52a60a6d5ab
https://doi.org/10.1109/isgt.2017.8085972
https://doi.org/10.1109/isgt.2017.8085972
Autor:
S. A. Soman, Yogesh Kumar Bichpuriya
Publikováno v:
2016 IEEE International Conference on Power System Technology (POWERCON).
Electricity demand is a random variable. Most point forecasting methods do not give any information about stochastic nature of the demand. A probability density forecast (PDF) provides a complete description of the random variable (i.e., demand) by a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1df7448b8dc1a00a8be3a1190f07c214
https://doi.org/10.1109/powercon.2016.7753987
https://doi.org/10.1109/powercon.2016.7753987
Publikováno v:
2016 IEEE Power and Energy Society General Meeting (PESGM).
We propose an approach for robust probability density forecast of yearly peak load. The probability density forecast is robust against influential observations and error in econometric projections. By using a method akin to jackknifing, we obtain mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6380d2999ee2e7f984bf4ed871488eaa
https://doi.org/10.1109/pesgm.2016.7741892
https://doi.org/10.1109/pesgm.2016.7741892
Publikováno v:
IndraStra Global.
We present an empirical analysis to show that combination of short term load forecasts leads to better accuracy. We also discuss other aspects of combination, i.e., distribution of weights, effect of variation in the historical window and distributio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c0b483d5e32bb9f0822599729e1bf84
https://igi.indrastra.com/items/show/46922
https://igi.indrastra.com/items/show/46922
Publikováno v:
PSCC
The Load Serving Entity (LSE) requires, for its power procurement portfolio management, accurate peak load forecast in medium term (upto six months ahead). A complete description of the random variable, i.e., load, is provided by probability density
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a72814376ca52cf399c2173f62c832df
https://doi.org/10.1109/pscc.2014.7038464
https://doi.org/10.1109/pscc.2014.7038464