Datasets:

SivaMallikarjun
/

Non-Conventional-Energy-Sources-Optimizer

source_type stringclasses 3 values	location stringclasses 7 values	avg_temperature_C float64 15 45	wind_speed_mps float64 0.5 15	solar_radiation_kWh_m2 float64 2 7	humidity_percent int64 20 90	altitude_m int64 0 3k	installation_cost_usd int64 10k 50k	maintenance_cost_usd_year int64 300 2k	output_efficiency_percent float64 40 95	optimized_output_kw float64 10 500
solar	Telangana	44.7	1.25	6.06	23	271	16,890	1,651	47.99	435.46
solar	Tamil Nadu	33.5	2.69	6.24	36	706	47,355	826	82.5	411.54
wind	Gujarat	40.6	12.27	3.56	50	1,185	36,108	504	77.71	281.2
wind	Gujarat	16.7	12.05	2.45	80	2,408	41,466	776	50.82	473.1
wind	Gujarat	27.4	14.89	3.32	39	1,378	29,786	1,428	68.38	436.31
solar	Rajasthan	17.3	13.39	2.93	30	2,816	44,745	1,733	85.63	208.04
wind	Maharashtra	26.6	1.66	6.65	62	1,294	40,406	1,392	67.07	257.67
biomass	Andhra Pradesh	44.3	2.62	6.83	24	1,315	46,034	1,797	66.84	144.77
biomass	Andhra Pradesh	15.7	3.72	6.65	50	133	21,704	1,373	83.93	424.49
wind	Rajasthan	15.6	4.63	2.17	21	2,231	29,768	987	66.33	302.84
wind	Maharashtra	41.1	9.64	4.29	74	727	49,329	419	69	418.71
solar	Gujarat	41.4	9.36	2.42	20	1,628	24,085	1,567	85.68	451.19
solar	Rajasthan	18.8	8.61	5.52	24	2,841	39,184	975	46.58	476.61
wind	Rajasthan	44.4	2.82	2.57	65	944	15,386	1,106	93.75	245.33
biomass	Andhra Pradesh	36.8	5.93	3.8	88	2,853	27,700	1,802	60.41	431.72
biomass	Telangana	33	9.21	5.82	33	1,458	27,466	647	64.71	453.93
solar	Karnataka	43.3	12.5	2.39	76	2,778	45,976	774	72.72	417.34
solar	Karnataka	24.9	10.31	5.56	77	1,817	40,236	718	72.67	241.45
solar	Maharashtra	37.7	13.31	3.41	83	2,387	37,392	1,553	89.04	11.36
biomass	Tamil Nadu	42.6	10.11	2.04	45	2,727	37,329	1,455	90.02	246.48
solar	Andhra Pradesh	34.6	7.66	3.53	43	1,697	18,155	1,644	82.04	429.89
wind	Maharashtra	35.8	6.57	5.98	84	1,038	19,229	1,550	43.15	448.35
biomass	Rajasthan	15.3	5.56	6.42	51	970	47,306	1,778	86.66	91.13
biomass	Rajasthan	30	14.85	6.35	28	2,305	33,248	1,232	89.99	282.93
wind	Rajasthan	33.6	10.04	5.99	24	309	11,247	1,555	68.63	381.81
solar	Telangana	23.4	2.06	6.66	90	2,511	23,698	749	60.78	447.77
biomass	Gujarat	16.9	11.55	2.7	81	2,436	19,031	666	57.31	437.41
solar	Karnataka	29.2	11.88	3.31	71	869	43,694	1,330	73.58	35.82
solar	Rajasthan	40.1	1.95	4.94	43	857	23,141	1,565	74.04	474.01
biomass	Andhra Pradesh	30.1	1.89	5.57	62	1,496	48,632	1,871	52.42	419.91
biomass	Maharashtra	25.6	10.56	4.23	20	2,226	41,642	1,349	44.76	24.86
solar	Rajasthan	34.8	4.28	5.45	28	1,298	26,169	808	76.41	222.92
wind	Andhra Pradesh	44.4	13.32	3.66	40	2,850	17,911	1,117	51.37	377.86
solar	Maharashtra	17.2	11.19	6.82	52	498	11,851	733	77.49	400.92
solar	Maharashtra	32.5	4.45	6.69	52	2,601	37,882	522	61.09	195.97
wind	Andhra Pradesh	34.6	11.41	2.21	87	173	36,049	657	40.47	23.45
biomass	Tamil Nadu	28.1	9.15	6.53	42	2,161	12,873	1,240	87.95	315.77
biomass	Rajasthan	33.2	10.08	4.78	84	1,952	14,166	1,759	57.42	342.6
biomass	Andhra Pradesh	38.9	6.48	4.5	83	1,323	45,505	1,825	94.66	365.61
wind	Maharashtra	44	11.55	3.26	81	233	39,420	540	85.13	204.38
biomass	Andhra Pradesh	15.1	1.18	2.1	69	1,992	21,264	1,534	93.91	346.54
solar	Karnataka	21.9	14.41	2.16	87	2,543	11,224	1,843	63.21	205.72
solar	Karnataka	39.5	3.38	5.62	47	38	21,508	373	73.91	75.72
wind	Telangana	33.1	1.18	5.87	24	1,490	28,393	1,746	56.99	167.7
wind	Karnataka	21.1	8.21	2.01	26	1,995	22,606	1,105	68.61	346.95
wind	Andhra Pradesh	30.4	8.21	2.99	32	2,287	12,300	1,968	75.76	431.97
wind	Tamil Nadu	42.3	4.45	3.25	62	2,870	27,580	1,260	63.16	392.83
wind	Gujarat	24.4	14.58	2.18	47	58	45,882	1,529	71.73	296.57
solar	Rajasthan	16.5	4.76	4.71	82	1,501	12,131	1,455	54.83	411.84
solar	Karnataka	36.9	4.57	5.06	82	1,121	48,894	1,187	67.8	213.2
biomass	Gujarat	17.8	6.09	5.77	42	2,228	17,365	1,557	57.27	401.69
biomass	Tamil Nadu	23.5	3.04	6.98	79	2,244	32,315	1,709	58.64	145.05
solar	Tamil Nadu	33.8	4.68	4.81	43	2,037	18,606	1,658	56.55	175.41
solar	Maharashtra	26.5	3.32	6.14	25	1,448	28,962	1,434	58.2	370.19
solar	Maharashtra	33.3	10.57	4.61	53	1,016	37,698	1,750	91.14	183.26
biomass	Tamil Nadu	44.1	1.26	2.69	79	1,109	46,204	1,780	48.36	100.05
biomass	Tamil Nadu	29.8	9.48	5.15	33	1,545	37,488	1,374	49.05	114.13
biomass	Rajasthan	17.2	6.48	3.95	79	2,677	28,887	305	72.17	362.64
solar	Tamil Nadu	28.2	14.26	5.21	64	2,477	27,758	491	56.8	122.36
biomass	Maharashtra	43.5	1.51	5.98	61	1,561	13,177	317	79.22	488.56
biomass	Maharashtra	25.1	1.11	5.01	23	508	17,122	1,837	41.47	364.67
biomass	Telangana	21.1	5.22	4.88	43	1,045	37,268	1,261	52.17	192.91
biomass	Gujarat	27.6	2.09	2.08	30	25	35,876	698	50.65	287.63
wind	Andhra Pradesh	23.1	3.54	6.17	61	2,672	46,147	711	76.91	394.22
biomass	Karnataka	34.4	6.15	3.97	52	1,750	25,087	1,300	91.05	156.85
solar	Telangana	26.2	13.17	2.78	32	2,235	19,635	397	42.75	36.25
biomass	Karnataka	26	1.39	5.01	54	2,573	36,172	1,150	49.35	110.93
solar	Gujarat	18.1	5.45	4.5	58	1,154	17,214	700	61.43	221.53
wind	Gujarat	38	12.28	6.52	87	2,383	42,382	926	82.18	200.87
wind	Andhra Pradesh	36.9	7.21	5.25	67	2,778	14,562	1,980	69.54	275.79
wind	Karnataka	43.8	11.88	3.47	27	759	48,741	1,049	57.94	75.38
wind	Rajasthan	25.1	4.81	5.14	54	940	32,982	414	85.16	494.28
wind	Tamil Nadu	44.1	5.64	6.67	57	1,178	23,816	1,000	57.81	129.27
biomass	Telangana	37.8	10.19	4.71	30	810	36,466	1,434	86.07	112.7
solar	Rajasthan	34.8	0.85	4.79	29	1,908	16,195	691	87.61	480.95
wind	Telangana	33.1	3.58	5.26	44	1,833	22,037	1,173	91.05	313.79
biomass	Karnataka	42.9	11.53	5.92	50	2,593	40,808	721	84.68	271.94
biomass	Telangana	20.7	8.34	2.29	28	1,367	26,437	1,484	78.43	377.16
biomass	Andhra Pradesh	20.2	11.25	4.05	23	843	20,903	521	49.15	260.64
wind	Gujarat	37.3	6.8	4.91	89	138	29,096	621	83.1	258.23
wind	Karnataka	18.6	1.01	3.66	36	1,368	16,555	1,834	52	245.45
wind	Karnataka	40.4	11.93	4.58	87	1,052	14,033	1,003	40.43	390.88
biomass	Maharashtra	37	9.91	5.08	60	567	27,301	1,396	41.18	95.65
wind	Maharashtra	36.2	2.77	6.68	20	1,194	29,919	395	51.51	368.61
wind	Rajasthan	42.9	10.43	3.11	82	2,728	11,702	1,016	64.58	393.75
solar	Andhra Pradesh	42.8	9.07	3.21	65	2,768	45,664	1,736	53.02	35.15
biomass	Maharashtra	17.3	12.16	6.87	56	311	19,817	1,551	67.2	243.1
solar	Maharashtra	28.9	13.72	5.9	82	599	15,990	333	86.98	369.31
wind	Telangana	23.6	12.63	4.26	66	237	14,498	1,516	79.68	117.81
wind	Andhra Pradesh	41	10.96	6.32	60	2,118	36,561	797	78.99	115.55
solar	Andhra Pradesh	15.3	1.75	6.63	39	1,776	22,172	1,676	62.98	11.4
biomass	Andhra Pradesh	36.5	10.96	4.69	80	2,861	17,797	1,202	66.72	428.24
biomass	Tamil Nadu	24.9	6.2	6	36	1,193	43,356	1,921	63.31	488.29
solar	Rajasthan	18.1	10.98	3.87	56	1,759	29,798	1,953	63.27	13.7
wind	Rajasthan	25.7	0.78	4.11	83	1,171	21,433	1,357	55.55	354.25
solar	Maharashtra	26	13.42	4.31	75	788	29,459	408	88.53	239.75
wind	Maharashtra	26.7	11.41	4.65	85	1,935	29,275	719	40.21	445.92
biomass	Maharashtra	24.3	10.61	4.08	71	2,162	20,462	425	74.06	28.2
wind	Telangana	37.6	4.96	6.56	30	2,276	16,190	1,751	61.51	416.4
biomass	Maharashtra	34.2	9.35	4.68	71	2,504	19,867	595	50.31	149.25

End of preview. Expand in Data Studio

Non-Conventional Energy Sources Optimizer

This dataset contains 100,000 records aimed at optimizing the efficiency of various non-conventional (renewable) energy sources such as solar and wind. The data is generated to support machine learning and deep learning models that can predict energy output and recommend configurations for maximum efficiency.

Dataset Details

Records: 100,000
Format: CSV
Use Cases: Regression models, energy output prediction, efficiency optimization, sustainable energy research.

Features

Feature	Description
`id`	Unique identifier
`energy_type`	Type of energy source (e.g., solar, wind, hybrid)
`location`	Geographical location
`avg_solar_radiation`	Average solar radiation in kWh/m²
`avg_wind_speed`	Average wind speed in m/s
`panel_efficiency`	Efficiency of solar panels (%)
`turbine_efficiency`	Efficiency of wind turbines (%)
`temperature`	Temperature in Celsius
`humidity`	Relative humidity (%)
`cloud_cover`	Cloud cover (%)
`energy_output_kw`	Final energy output in kilowatts

Citation

Please cite this dataset as:

Downloads last month: 3

Size of downloaded dataset files:

6.32 MB

Size of the auto-converted Parquet files:

4.08 MB

Number of rows:

100,000